Fang-Xiang Wu

Orcid: 0000-0002-4593-9332

Affiliations:
  • University of Saskatchewan, Saskatoon, SK, Canada


According to our database1, Fang-Xiang Wu authored at least 304 papers between 2002 and 2024.

Collaborative distances:

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Bibliography

2024
OIF-Net: An Optical Flow Registration-Based PET/MR Cross-Modal Interactive Fusion Network for Low-Count Brain PET Image Denoising.
IEEE Trans. Medical Imaging, April, 2024

QLABGrad: A Hyperparameter-Free and Convergence-Guaranteed Scheme for Deep Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
invMap: a sensitive mapping tool for long noisy reads with inversion structural variants.
Bioinform., December, 2023

Identify potential circRNA-disease associations through a multi-objective evolutionary algorithm.
Inf. Sci., November, 2023

Sparse2Noise: Low-dose synchrotron X-ray tomography without high-quality reference data.
Comput. Biol. Medicine, October, 2023

A multi-modal deep neural network for multi-class liver cancer diagnosis.
Neural Networks, August, 2023

A Two-Branch Neural Network for Short-Axis PET Image Quality Enhancement.
IEEE J. Biomed. Health Informatics, June, 2023

Multi-level GAN based enhanced CT scans for liver cancer diagnosis.
Biomed. Signal Process. Control., March, 2023

CLAIRE: contrastive learning-based batch correction framework for better balance between batch mixing and preservation of cellular heterogeneity.
Bioinform., March, 2023

DeepCellEss: cell line-specific essential protein prediction with attention-based interpretable deep learning.
Bioinform., January, 2023

NMTF-DTI: A Nonnegative Matrix Tri-factorization Approach With Multiple Kernel Fusion for Drug-Target Interaction Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Biomarker Identification via a Factorization Machine-Based Neural Network With Binary Pairwise Encoding.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

QLAB: Quadratic Loss Approximation-Based Optimal Learning Rate for Deep Learning.
CoRR, 2023


Prediction of piRNA-mRNA interactions based on an interactive inference network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Imputing single-cell RNA-seq data by graph autoencoder with multi-kernel.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Temporal-Spatial Analysis of the Essentiality of Hub Proteins in Protein-Protein Interaction Networks.
IEEE Trans. Netw. Sci. Eng., 2022

Predicting miRNA-Disease Associations Based On Multi-View Variational Graph Auto-Encoder With Matrix Factorization.
IEEE J. Biomed. Health Informatics, 2022

Predicting Drug-Drug Interactions Based on Integrated Similarity and Semi-Supervised Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Identifying Gene Signatures for Cancer Drug Repositioning Based on Sample Clustering.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

DPCMNE: Detecting Protein Complexes From Protein-Protein Interaction Networks Via Multi-Level Network Embedding.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

An Ensemble Hybrid Feature Selection Method for Neuropsychiatric Disorder Classification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

A Dual Ranking Algorithm Based on the Multiplex Network for Heterogeneous Complex Disease Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

NIMCE: A Gene Regulatory Network Inference Approach Based on Multi Time Delays Causal Entropy.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Drug-Target Interaction Prediction Using Multi-Head Self-Attention and Graph Attention Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Corrigendum to "Deep learning for brain disorder diagnosis based on fMRI images" [Neurocomputing 469 (2022) 332-345].
Neurocomputing, 2022

A semi-supervised autoencoder for autism disease diagnosis.
Neurocomputing, 2022

Deep learning for brain disorder diagnosis based on fMRI images.
Neurocomputing, 2022

KAICD: A knowledge attention-based deep learning framework for automatic ICD coding.
Neurocomputing, 2022

Guest editorial: Deep neural networks for precision medicine.
Neurocomputing, 2022

Machine learning based liver disease diagnosis: A systematic review.
Neurocomputing, 2022

Multi-scale GAN with residual image learning for removing heterogeneous blur.
IET Image Process., 2022

CircR2Disease v2.0: An Updated Web Server for Experimentally Validated circRNA-disease Associations and Its Application.
Genom. Proteom. Bioinform., 2022

PDMDA: predicting deep-level miRNA-disease associations with graph neural networks and sequence features.
Bioinform., 2022

ACP_MS: prediction of anticancer peptides based on feature extraction.
Briefings Bioinform., 2022

DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding.
Briefings Bioinform., 2022

Biomedical data, computational methods and tools for evaluating disease-disease associations.
Briefings Bioinform., 2022

HyMM: hybrid method for disease-gene prediction by integrating multiscale module structure.
Briefings Bioinform., 2022

Predicting drug-drug interactions by graph convolutional network with multi-kernel.
Briefings Bioinform., 2022

An integrated brain-specific network identifies genes associated with neuropathologic and clinical traits of Alzheimer's disease.
Briefings Bioinform., 2022

MLRDFM: a multi-view Laplacian regularized DeepFM model for predicting miRNA-disease associations.
Briefings Bioinform., 2022

RMS-UNet: Residual multi-scale UNet for liver and lesion segmentation.
Artif. Intell. Medicine, 2022

Chinese clinical named entity recognition via multi-head self-attention based BiLSTM-CRF.
Artif. Intell. Medicine, 2022

A Deep Neural Network for Cervical Cell Classification Based on Cytology Images.
IEEE Access, 2022

EMDS: predicting essential miRNAs based on deep learning and sequences.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Unseen Epitope-TCR Interaction Prediction based on Amino Acid Physicochemical Properties.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Prediction of exosomal piRNAs based on deep learning for sequence embedding with attention mechanism.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

BayesImpute: a Bayesian imputation method for single-cell RNA-seq data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Predicting disease-associated genes: Computational methods, databases, and evaluations.
WIREs Data Mining Knowl. Discov., 2021

Human Protein Complex-Based Drug Signatures for Personalized Cancer Medicine.
IEEE J. Biomed. Health Informatics, 2021

Deep Matrix Factorization Improves Prediction of Human CircRNA-Disease Associations.
IEEE J. Biomed. Health Informatics, 2021

scASK: A Novel Ensemble Framework for Classifying Cell Types Based on Single-cell RNA-seq Data.
IEEE J. Biomed. Health Informatics, 2021

An Ensemble Method to Reconstruct Gene Regulatory Networks Based on Multivariate Adaptive Regression Splines.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

A Deep Learning Framework for Gene Ontology Annotations With Sequence- and Network-Based Information.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Deletion Detection Method Using the Distribution of Insert Size and a Precise Alignment Strategy.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

DMFLDA: A Deep Learning Framework for Predicting lncRNA-Disease Associations.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

A Deep Learning Framework for Identifying Essential Proteins by Integrating Multiple Types of Biological Information.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

MCHMDA: Predicting Microbe-Disease Associations Based on Similarities and Low-Rank Matrix Completion.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

A Gene Rank Based Approach for Single Cell Similarity Assessment and Clustering.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

A Novel Drug Repositioning Approach Based on Collaborative Metric Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

EPGA-SC : A Framework for de novo Assembly of Single-Cell Sequencing Reads.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

FUNMarker: Fusion Network-Based Method to Identify Prognostic and Heterogeneous Breast Cancer Biomarkers.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

DeepDSC: A Deep Learning Method to Predict Drug Sensitivity of Cancer Cell Lines.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

High-Risk Prediction of Cardiovascular Diseases via Attention-Based Deep Neural Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Diagnosis of Autism Spectrum Disorder Based on Functional Brain Networks with Deep Learning.
J. Comput. Biol., 2021

Essential Protein Prediction Based on node2vec and XGBoost.
J. Comput. Biol., 2021

SSRE: Cell Type Detection Based on Sparse Subspace Representation and Similarity Enhancement.
Genom. Proteom. Bioinform., 2021

A dynamic predictor selection algorithm for predicting stock market movement.
Expert Syst. Appl., 2021

MMHGE: detecting mild cognitive impairment based on multi-atlas multi-view hybrid graph convolutional networks and ensemble learning.
Clust. Comput., 2021

Identifying cell types from single-cell data based on similarities and dissimilarities between cells.
BMC Bioinform., 2021

Improving circRNA-disease association prediction by sequence and ontology representations with convolutional and recurrent neural networks.
Bioinform., 2021

IsoResolve: predicting splice isoform functions by integrating gene and isoform-level features with domain adaptation.
Bioinform., 2021

Parallel computing for genome sequence processing.
Briefings Bioinform., 2021

Proteoform characterization based on top-down mass spectrometry.
Briefings Bioinform., 2021

A survey on predicting microbe-disease associations: biological data and computational methods.
Briefings Bioinform., 2021

Identifying the tissues-of-origin of circulating cell-free DNAs is a promising way in noninvasive diagnostics.
Briefings Bioinform., 2021

Biomedical data and computational models for drug repositioning: a comprehensive review.
Briefings Bioinform., 2021

Single Cell Clustering with Sparse Similarity Matrix Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Improving human essential protein prediction using only protein sequences via ensemble learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

A Graph Attention Neural Network for Diagnosing ASD with fMRI Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

EFCA: An Extended Formal Concept Analysis Method for Aspect Extraction in Healthcare Informatics.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Ensemble disease gene prediction by clinical sample-based networks.
BMC Bioinform., March, 2020

Predicting Human lncRNA-Disease Associations Based on Geometric Matrix Completion.
IEEE J. Biomed. Health Informatics, 2020

Multi-Receptive-Field CNN for Semantic Segmentation of Medical Images.
IEEE J. Biomed. Health Informatics, 2020

BRWMDA: Predicting Microbe-Disease Associations Based on Similarities and Bi-Random Walk on Disease and Microbe Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

MEC: Misassembly Error Correction in Contigs based on Distribution of Paired-End Reads and Statistics of GC-contents.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Constructing Disease Similarity Networks Based on Disease Module Theory.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

GapReduce: A Gap Filling Algorithm Based on Partitioned Read Sets.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

An Efficient Trimming Algorithm based on Multi-Feature Fusion Scoring Model for NGS Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Improving de novo Assembly Based on Read Classification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

MultiMotifMaker: A Multi-Thread Tool for Identifying DNA Methylation Motifs from Pacbio Reads.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Identification of Protein Complexes by Using a Spatial and Temporal Active Protein Interaction Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Artificial Fish Swarm Optimization Based Method to Identify Essential Proteins.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

miRTRS: A Recommendation Algorithm for Predicting miRNA Targets.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Deep convolutional neural network for automatically segmenting acute ischemic stroke lesion in multi-modality MRI.
Neural Comput. Appl., 2020

Attention convolutional neural network for accurate segmentation and quantification of lesions in ischemic stroke disease.
Medical Image Anal., 2020

Enhancing the feature representation of multi-modal MRI data by combining multi-view information for MCI classification.
Neurocomputing, 2020

Deep convolutional neural network for accurate segmentation and quantification of white matter hyperintensities.
Neurocomputing, 2020

A survey on U-shaped networks in medical image segmentations.
Neurocomputing, 2020

A network enhancement-based method for clustering of single cell RNA-seq data.
Int. J. Data Min. Bioinform., 2020

Predicting novel CircRNA-disease associations based on random walk and logistic regression model.
Comput. Biol. Chem., 2020

PESM: predicting the essentiality of miRNAs based on gradient boosting machines and sequences.
BMC Bioinform., 2020

RepAHR: an improved approach for de novo repeat identification by assembly of the high-frequency reads.
BMC Bioinform., 2020

MADA: a web service for analysing DNA methylation array data.
BMC Bioinform., 2020

Protein-protein interaction site prediction through combining local and global features with deep neural networks.
Bioinform., 2020

MultiGuideScan: a multi-processing tool for designing CRISPR guide RNA libraries.
Bioinform., 2020

MDIPA: a microRNA-drug interaction prediction approach based on non-negative matrix factorization.
Bioinform., 2020

ALSBMF: Predicting lncRNA-Disease Associations by Alternating Least Squares Based on Matrix Factorization.
IEEE Access, 2020

MiRNA-Disease Associations Prediction Based on Negative Sample Selection and Multi-layer Perceptron.
Proceedings of the Bioinformatics Research and Applications - 16th International Symposium, 2020

Diagnosis of ASD from rs-fMRI Images Based on Brain Dynamic Networks.
Proceedings of the Bioinformatics Research and Applications - 16th International Symposium, 2020

SPOC: Identification of Drug Targets in Biological Networks via Set Preference Output Control.
Proceedings of the Bioinformatics Research and Applications - 16th International Symposium, 2020

A topological AUC-based biomarker ensemble method for the complex disease analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
DDIGIP: predicting drug-drug interactions based on Gaussian interaction profile kernels.
BMC Bioinform., December, 2019

CSA: a web service for the complete process of ChIP-Seq analysis.
BMC Bioinform., December, 2019

DNRLMF-MDA: Predicting microRNA-Disease Associations Based on Similarities of microRNAs and Diseases.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Computational Drug Repositioning with Random Walk on a Heterogeneous Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

MGT-SM: A Method for Constructing Cellular Signal Transduction Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

A Novel Scaffolding Algorithm Based on Contig Error Correction and Path Extension.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Construction of Refined Protein Interaction Network for Predicting Essential Proteins.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Automated ICD-9 Coding via A Deep Learning Approach.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Disease Gene Prediction by Integrating PPI Networks, Clinical RNA-Seq Data and OMIM Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Current challenges and solutions of de novo assembly.
Quant. Biol., 2019

Overlap matrix completion for predicting drug-associated indications.
PLoS Comput. Biol., 2019

Controllability and Its Applications to Biological Networks.
J. Comput. Sci. Technol., 2019

Automatic ICD code assignment of Chinese clinical notes based on multilayer attention BiRNN.
J. Biomed. Informatics, 2019

Deep learning for biological/clinical data.
Neurocomputing, 2019

Efficient multi-kernel DCNN with pixel dropout for stroke MRI segmentation.
Neurocomputing, 2019

DeepEP: a deep learning framework for identifying essential proteins.
BMC Bioinform., 2019

IILLS: predicting virus-receptor interactions based on similarity and semi-supervised learning.
BMC Bioinform., 2019

Protein complex detection based on flower pollination mechanism in multi-relation reconstructed dynamic protein networks.
BMC Bioinform., 2019

SinNLRR: a robust subspace clustering method for cell type detection by non-negative and low-rank representation.
Bioinform., 2019

BiXGBoost: a scalable, flexible boosting-based method for reconstructing gene regulatory networks.
Bioinform., 2019

Enhancing the prediction of disease-gene associations with multimodal deep learning.
Bioinform., 2019

SCOP: a novel scaffolding algorithm based on contig classification and optimization.
Bioinform., 2019

Control principles for complex biological networks.
Briefings Bioinform., 2019

Diagnosis of Autism Spectrum Disorder Based on Eigenvalues of Brain Networks.
IEEE Access, 2019

IDNDDI: An Integrated Drug Similarity Network Method for Predicting Drug-Drug Interactions.
Proceedings of the Bioinformatics Research and Applications - 15th International Symposium, 2019

Identification of Prognostic and Heterogeneous Breast Cancer Biomarkers Based on Fusion Network and Multiple Scoring Strategies.
Proceedings of the Intelligent Computing Theories and Application, 2019

Improved Spectral Clustering Method for Identifying Cell Types from Single-Cell Data.
Proceedings of the Intelligent Computing Theories and Application, 2019

Autoencoder Based Methods for Diagnosis of Autism Spectrum Disorder.
Proceedings of the Computational Advances in Bio and Medical Sciences, 2019

A Global Similarity Learning for Clustering of Single-Cell RNA-Seq Data.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

LncRNA-disease association prediction through combining linear and non-linear features with matrix factorization and deep learning techniques.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Tentative diagnosis prediction via deep understanding of patient narratives.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Detecting protein complex based on hierarchical compressing network embedding.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

de novo repeat detection based on the third generation sequencing reads.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

DualRank: multiplex network-based dual ranking for heterogeneous complex disease analysis.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Drug and disease similarity calculation platform for drug repositioning.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Classification of Schizophrenia by Iterative Random Forest Feature Selection Based on DNA Methylation Array Data.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

DoRC: Discovery of rare cells from ultra-large scRNA-seq data.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Human Protein Complex Signatures for Drug Repositioning.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2018
Improving Alzheimer's Disease Classification by Combining Multiple Measures.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Classification of Alzheimer's Disease Using Whole Brain Hierarchical Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Predicting MicroRNA-Disease Associations Based on Improved MicroRNA and Disease Similarities.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

M-Matrix-Based State Observer Design for Genetic Regulatory Networks With Mixed Delays.
IEEE Trans. Circuits Syst. II Express Briefs, 2018

Topology potential based seed-growth method to identify protein complexes on dynamic PPI data.
Inf. Sci., 2018

CASNMF: A Converged Algorithm for symmetrical nonnegative matrix factorization.
Neurocomputing, 2018

Biomolecular Networks for Complex Diseases.
Complex., 2018

Improved flower pollination algorithm for identifying essential proteins.
BMC Syst. Biol., 2018

DWNN-RLS: regularized least squares method for predicting circRNA-disease associations.
BMC Bioinform., 2018

CytoCtrlAnalyser: a Cytoscape app for biomolecular network controllability analysis.
Bioinform., 2018

Prediction of lncRNA-disease associations based on inductive matrix completion.
Bioinform., 2018

DyNetViewer: a Cytoscape app for dynamic network construction, analysis and visualization.
Bioinform., 2018

CircR2Disease: a manually curated database for experimentally supported circular RNAs associated with various diseases.
Database J. Biol. Databases Curation, 2018

A review on machine learning principles for multi-view biological data integration.
Briefings Bioinform., 2018

Predicting Disease Genes from Clinical Single Sample-Based PPI Networks.
Proceedings of the Bioinformatics and Biomedical Engineering, 2018

PBMarsNet: A Multivariate Adaptive Regression Splines Based Method to Reconstruct Gene Regulatory Networks.
Proceedings of the Bioinformatics Research and Applications - 14th International Symposium, 2018

Sprites2: Detection of Deletions Based on an Accurate Alignment Strategy.
Proceedings of the Bioinformatics Research and Applications - 14th International Symposium, 2018

Predicting Gene-Disease Associations with Manifold Learning.
Proceedings of the Bioinformatics Research and Applications - 14th International Symposium, 2018

Using Deep Neural Network to Predict Drug Sensitivity of Cancer Cell Lines.
Proceedings of the Intelligent Computing Theories and Application, 2018

A Deep Learning Framework for Identifying Essential Proteins Based on Protein-Protein Interaction Network and Gene Expression Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Disease Inference with Symptom Extraction and Bidirectional Recurrent Neural Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Protein Inference from the Integration of Tandem MS Data and Interactome Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

NovoExD: De novo Peptide Sequencing for ETD/ECD Spectra.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

United Complex Centrality for Identification of Essential Proteins from PPI Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Predicting Protein Complexes in Weighted Dynamic PPI Networks Based on ICSC.
Complex., 2017

SDTRLS: Predicting Drug-Target Interactions for Complex Diseases Based on Chemical Substructures.
Complex., 2017

Complex Brain Network Analysis and Its Applications to Brain Disorders: A Survey.
Complex., 2017

PECC: Correcting contigs based on paired-end read distribution.
Comput. Biol. Chem., 2017

VAliBS: a visual aligner for bisulfite sequences.
BMC Bioinform., 2017

BOSS: a novel scaffolding algorithm based on an optimized scaffold graph.
Bioinform., 2017

LDAP: a web server for lncRNA-disease association prediction.
Bioinform., 2017

Protein-protein interactions: detection, reliability assessment and applications.
Briefings Bioinform., 2017

Relating Diseases Based on Disease Module Theory.
Proceedings of the Bioinformatics Research and Applications - 13th International Symposium, 2017

LSLS: A Novel Scaffolding Method Based on Path Extension.
Proceedings of the Intelligent Computing Theories and Application, 2017

MEC: Misassembly error correction in contigs using a combination of paired-end reads and GC-contents.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

An interpretable model for predicting side effects of analgesics for osteoarthritis.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Protein complex identification through Markov clustering with firefly algorithm on dynamic protein-protein interaction networks.
Inf. Sci., 2016

Predicting drug-target interaction using positive-unlabeled learning.
Neurocomputing, 2016

Detecting protein complexes from DPINs by density based clustering with Pigeon-Inspired Optimization Algorithm.
Sci. China Inf. Sci., 2016

Predicting essential proteins based on subcellular localization, orthology and PPI networks.
BMC Bioinform., 2016

C-DEVA: Detection, evaluation, visualization and annotation of clusters from biological networks.
Biosyst., 2016

Sprites: detection of deletions from sequencing data by re-aligning split reads.
Bioinform., 2016

Drug repositioning based on comprehensive similarity measures and Bi-Random walk algorithm.
Bioinform., 2016

Identifying protein complexes in dynamic protein-protein interaction networks based on Cuckoo Search algorithm.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

The MSS of complex networks with centrality based preference and its application to biomolecular networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Construction of the spatial and temporal active protein interaction network for identifying protein complexes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Identifying disease genes from PPI networks weighted by gene expression under different conditions.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Mining protein complexes based on topology potential from weighted dynamic PPI network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Detecting protein complexes from DPINs by OPTICS based on particle swarm optimization.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Predicting microRNA-environmental factor interactions based on bi-random walk and multi-label learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
ClusterViz: A Cytoscape APP for Cluster Analysis of Biological Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015

UDoNC: An Algorithm for Identifying Essential Proteins Based on Protein Domains and Protein-Protein Interaction Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015

A Topology Potential-Based Method for Identifying Essential Proteins from PPI Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015

Discovering essential proteins based on PPI network and protein complex.
Int. J. Data Min. Bioinform., 2015

CytoNCA: A cytoscape plugin for centrality analysis and evaluation of protein interaction networks.
Biosyst., 2015

EPGA: <i>de novo</i> assembly using the distributions of reads and insert size.
Bioinform., 2015

EPGA2: memory-efficient <i>de novo</i> assembler.
Bioinform., 2015

Detecting conserved protein complexes using a dividing-and-matching algorithm and unequally lenient criteria for network comparison.
Algorithms Mol. Biol., 2015

Estimation of control Energy and control Strategies for Complex Networks.
Adv. Complex Syst., 2015

Predicting Protein Functions Based on Dynamic Protein Interaction Networks.
Proceedings of the Bioinformatics Research and Applications - 11th International Symposium, 2015

A two-step logistic regression algorithm for identifying individual-cancer-related genes.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
A Fast Algorithm for Nonnegative Matrix Factorization and Its Convergence.
IEEE Trans. Neural Networks Learn. Syst., 2014

Detecting Protein Complexes Basedon Uncertain Graph Model.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Discovering biological patterns from short time-series gene expression profiles with integrating PPI data.
Neurocomputing, 2014

State Observer Design for Delayed Genetic Regulatory Networks.
Comput. Math. Methods Medicine, 2014

Improving protein function prediction using domain and protein complexes in PPI networks.
BMC Syst. Biol., 2014

A group LASSO-based method for robustly inferring gene regulatory networks from multiple time-course datasets.
BMC Syst. Biol., 2014

Prediction of disease genes using tissue-specified gene-gene network.
BMC Syst. Biol., 2014

Identifying protein complexes and functional modules - from static PPI networks to dynamic PPI networks.
Briefings Bioinform., 2014

NovoGMET: De Novo Peptide Sequencing Using Graphs with Multiple Edge Types (GMET) for ETD/ECD Spectra.
Proceedings of the Bioinformatics Research and Applications - 10th International Symposium, 2014

Drug Target Identification Based on Structural Output Controllability of Complex Networks.
Proceedings of the Bioinformatics Research and Applications - 10th International Symposium, 2014

Identification of Essential Proteins by Using Complexes and Interaction Network.
Proceedings of the Bioinformatics Research and Applications - 10th International Symposium, 2014

Searching SNP Combinations Related to Evolutionary Information of Human Populations on HapMap Data.
Proceedings of the Bioinformatics Research and Applications - 10th International Symposium, 2014

NovoPair: De novo peptide sequencing for tandem mass spectra pair.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

Detecting functional modules in dynamic protein-protein interaction networks using Markov Clustering and Firefly Algorithm.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

A logistic regression based algorithm for identifying human disease genes.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013
Robust identification method for nonlinear model structures and its application to high-performance aircraft.
Int. J. Syst. Sci., 2013

Complexity Analysis and Parameter Estimation of Dynamic Metabolic Systems.
Comput. Math. Methods Medicine, 2013

Characterizing dynamic regulatory programs in mouse lung development and their potential association with tumourigenesis via miRNA-TF-mRNA circuits.
BMC Syst. Biol., 2013

Construction of Uncertain Protein-Protein Interaction Networks and Its Applications.
Proceedings of the Bioinformatics Research and Applications, 9th International Symposium, 2013

A multi-edge graph based de novo peptide sequencing method for HCD spectra.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

A dividing-and-matching algorithm to detect conserved protein complexes via local network alignment.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

Robust inference of gene regulatory networks from multiple microarray datasets.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

Identifying dynamic protein complexes based on gene expression profiles and PPI networks.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

PPI modules detection method through ABC-IFC algorithm.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

Prioritization of candidate genes based on disease similarity and protein's proximity in PPI networks.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

Prioritizing human disease genes by multiple data integration.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012
Reverse engineering of gene regulatory networks from biological data.
WIREs Data Mining Knowl. Discov., 2012

Symmetry Compression Method for Discovering Network Motifs.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Inference of Biological S-System Using the Separable Estimation Method and the Genetic Algorithm.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Stability and Bifurcation of Ring-Structured Genetic Regulatory Networks With Time Delays.
IEEE Trans. Circuits Syst. I Regul. Pap., 2012

Two recursive least squares parameter estimation algorithms for multirate multiple-input systems by using the auxiliary model.
Math. Comput. Simul., 2012

Iteration method for predicting essential proteins based on orthology and protein-protein interaction networks.
BMC Syst. Biol., 2012

Inference of gene regulatory subnetworks from time course gene expression data.
BMC Bioinform., 2012

Dynamic miRNA-TF-mRNA circuits in mouse lung development.
Proceedings of the 6th IEEE International Conference on Systems Biology, 2012

New global stability conditions for genetic regulatory networks with time-varying delays.
Proceedings of the 6th IEEE International Conference on Systems Biology, 2012

Alternating weighted least squares parameter estimation for biological S-systems.
Proceedings of the 6th IEEE International Conference on Systems Biology, 2012

Sparse kernel logistic regression for β-turns prediction.
Proceedings of the 6th IEEE International Conference on Systems Biology, 2012

A fuzzy cluster-based algorithm for peptide identification.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

A hybrid approach of support vector machines with logistic regression for β-turn prediction.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

Not AU protein complexes exhibit dense structures in S. cerevisiae PPI network.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

2011
Delay-Independent Stability of Genetic Regulatory Networks.
IEEE Trans. Neural Networks, 2011

Recurrent Neural Network for Non-Smooth Convex Optimization Problems With Application to the Identification of Genetic Regulatory Networks.
IEEE Trans. Neural Networks, 2011

Guest Editorial: Special Focus on Bioinformatics and Systems Biology.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Global and Robust Stability Analysis of Genetic Regulatory Networks With Time-Varying Delays and Parameter Uncertainties.
IEEE Trans. Biomed. Circuits Syst., 2011

SVM-RFE based feature selection for tandem mass spectrum quality assessment.
Int. J. Data Min. Bioinform., 2011

Features-Based Deisotoping Method for Tandem Mass Spectra.
Adv. Bioinformatics, 2011

Parallelizing Peptide-Spectrum scoring using modern graphics processing units.
Proceedings of the IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences, 2011

Estimating parameters in genetic regulatory networks with SUM logic.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Globally delay-independent stability of ring-structured genetic regulatory networks.
Proceedings of the 24th Canadian Conference on Electrical and Computer Engineering, 2011

Delay-Dependent Stability for Genetic Regulatory Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

Improve Accuracy of Peptide Identification with Consistency between Peptides.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

Modeling Gene Regulatory Subnetworks from Time Course Gene Expression Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

An Improved Graph Entropy-based Method for Identifying Protein Complexes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

2010
Charge state determination of peptide tandem mass spectra using support vector machine (SVM).
IEEE Trans. Inf. Technol. Biomed., 2010

Dynamic-model-based method for selecting significantly expressed genes from time-course expression profiles.
IEEE Trans. Inf. Technol. Biomed., 2010

Estimation of parameters in rational reaction rates of molecular biological systems via weighted least squares.
Int. J. Syst. Sci., 2010

Speed improvements of peptide-spectrum matching using SIMD instructions.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

Peptide charge state determination of tandem mass spectra from low-resolution collision induced dissociation.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

Structure identification and parameter estimation of biological s-systems.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

An adaptive approach to denoising tandem mass spectra.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

2009
Mining, Modeling, and Evaluation of Subnetworks From Large Biomolecular Networks and Its Comparison Study.
IEEE Trans. Inf. Technol. Biomed., 2009

Finding Significantly Expressed genes from time-course expression profiles.
Int. J. Bioinform. Res. Appl., 2009

Using a State-Space Model and Location Analysis to Infer Time-Delayed Regulatory Networks.
EURASIP J. Bioinform. Syst. Biol., 2009

Quality assessment of tandem mass spectra using support vector machine (SVM).
BMC Bioinform., 2009

Delay-Independent Stability of Genetic Regulatory Networks with Time Delays.
Adv. Complex Syst., 2009

Subspace pursuit for gene profile classificaiton.
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009

2008
An approach to assessing peptide mass spectral quality without prior information.
Int. J. Funct. Informatics Pers. Medicine, 2008

Gene Regulatory Network modelling: a state-space approach.
Int. J. Data Min. Bioinform., 2008

Quality assessment of peptide tandem mass spectra.
BMC Bioinform., 2008

Genetic weighted k-means algorithm for clustering large-scale gene expression data.
BMC Bioinform., 2008

Adaptive dynamic surface control of a class of uncertain nonlinear systems in pure-feedback form using fuzzy backstepping approach.
Proceedings of the 2008 IEEE International Conference on Automation Science and Engineering, 2008

Detecting Significantly Expressed Genes from Their Time-Course Expression Profiles and Its Validation.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

Feature Selection for Tandem Mass Spectrum Quality Assessment.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

Stability and oscillation of genetic regulatory networks with time delays.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

2007
Mining and state-space modeling and verification of sub-networks from large-scale biomolecular networks.
BMC Bioinform., 2007

Significance Analysis of Time-Course Gene Expression Profiles.
Proceedings of the Bioinformatics Research and Applications, Third International Symposium, 2007

A Genetic Weighted K-means Algorithm for Clustering Gene Expression Data.
Proceedings of the Proceeding of the Second International Multi-Symposium of Computer and Computational Sciences (IMSCCS 2007), 2007

Mining and Dynamic Simulation of Sub-Networks from Large Biomolecular Networks.
Proceedings of the 2007 International Conference on Artificial Intelligence, 2007

A Framework for Mass Spectral Quality Assessment without Prior Information.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
Optimally-connected Hidden Markov Models for Predicting Mhc-binding Peptides.
J. Bioinform. Comput. Biol., 2006

Determination of the minimum number of microarray experiments for discovery of gene expression patterns.
BMC Bioinform., 2006

On Determination of Minimum Sample Size for Discovery of Temporal Gene Expression Patterns.
Proceedings of the Interdisciplinary and Multidisciplinary Research in Computer Science, 2006

2005
Control of hybrid Machines with 2-DOF for trajectory tracking problems.
IEEE Trans. Control. Syst. Technol., 2005

Dynamic Model-based Clustering for Time-course Gene Expression Data.
J. Bioinform. Comput. Biol., 2005

Genetic Weighted K-means for Large-Scale Clustering Problems.
Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

2004
Modeling Gene Expression from Microarray Expression Data with State-Space Equations.
Proceedings of the Biocomputing 2004, 2004

State-Space Model for Gene Regulatory Networks with Time Delays.
Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004

A. Genetic Algorithm for Inferring Time Delays in Gene Regulatory Networks.
Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004

Model-Based Clustering with Genes Expression Dynamics for Time-Course Gene Expression Data.
Proceedings of the 4th IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2004), 2004

2003
Determination of the Minimum Sample Size in Microarray Experiments to Cluster Genes Using K-means Clustering.
Proceedings of the 3rd IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2003), 2003

An Algorithm to Reconstruct a Target DNA Sequence from Its Spectrum Connected at a Given Level.
Proceedings of the 3rd IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2003), 2003

A Genetic K-means Clustering Algorithm Applied to Gene Expression Data.
Proceedings of the Advances in Artificial Intelligence, 2003

2002
Nonlinear PD Control for Trajectory Tracking with Consideration of the Design for Control Methodology.
Proceedings of the 2002 IEEE International Conference on Robotics and Automation, 2002


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