Quan Zou
Orcid: 0000-0001-6406-1142Affiliations:
- University of Electronic Science and Technology of China
- Tianjin University, School of Computer Science and Technology, China
- Xiamen University, School of Information Science and Technology, China
- Harbin Institute of Technology, School of Computer Science and Technology, China (PhD 2009)
According to our database1,
Quan Zou
authored at least 212 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Deepstacked-AVPs: predicting antiviral peptides using tri-segment evolutionary profile and word embedding based multi-perspective features with deep stacking model.
BMC Bioinform., December, 2024
Identification of human microRNA-disease association via low-rank approximation-based link propagation and multiple kernel learning.
Frontiers Comput. Sci., April, 2024
AutoEdge-CCP: A novel approach for predicting cancer-associated circRNAs and drugs based on automated edge embedding.
PLoS Comput. Biol., January, 2024
AttentionMGT-DTA: A multi-modal drug-target affinity prediction using graph transformer and attention mechanism.
Neural Networks, January, 2024
FMAlign2: a novel fast multiple nucleotide sequence alignment method for ultralong datasets.
Bioinform., January, 2024
Identification, characterization and expression analysis of circRNA encoded by SARS-CoV-1 and SARS-CoV-2.
Briefings Bioinform., January, 2024
FEOpti-ACVP: identification of novel anti-coronavirus peptide sequences based on feature engineering and optimization.
Briefings Bioinform., January, 2024
J. Chem. Inf. Model., 2024
AMPpred-MFA: An Interpretable Antimicrobial Peptide Predictor with a Stacking Architecture, Multiple Features, and Multihead Attention.
J. Chem. Inf. Model., 2024
2023
Multi-correntropy fusion based fuzzy system for predicting DNA N4-methylcytosine sites.
Inf. Fusion, December, 2023
BMC Bioinform., December, 2023
GSCtool: A Novel Descriptor that Characterizes the Genome for Applying Machine Learning in Genomics.
Adv. Intell. Syst., December, 2023
AIPs-SnTCN: Predicting Anti-Inflammatory Peptides Using fastText and Transformer Encoder-Based Hybrid Word Embedding with Self-Normalized Temporal Convolutional Networks.
J. Chem. Inf. Model., November, 2023
Optimization of drug-target affinity prediction methods through feature processing schemes.
Bioinform., November, 2023
Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites.
Bioinform., October, 2023
MMiKG: a knowledge graph-based platform for path mining of microbiota-mental diseases interactions.
Briefings Bioinform., September, 2023
WMSA 2: a multiple DNA/RNA sequence alignment tool implemented with accurate progressive mode and a fast win-win mode combining the center star and progressive strategies.
Briefings Bioinform., July, 2023
SSNMDI: a novel joint learning model of semi-supervised non-negative matrix factorization and data imputation for clustering of single-cell RNA-seq data.
Briefings Bioinform., May, 2023
Dimensionality reduction and visualization of single-cell RNA-seq data with an improved deep variational autoencoder.
Briefings Bioinform., May, 2023
PCB: A pseudotemporal causality-based Bayesian approach to identify EMT-associated regulatory relationships of AS events and RBPs during breast cancer progression.
PLoS Comput. Biol., March, 2023
Subspace projection-based weighted echo state networks for predicting therapeutic peptides.
Knowl. Based Syst., March, 2023
Enhancer-FRL: Improved and Robust Identification of Enhancers and Their Activities Using Feature Representation Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Multi-View Kernel Sparse Representation for Identification of Membrane Protein Types.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Protein-DNA Binding Residues Prediction Using a Deep Learning Model With Hierarchical Feature Extraction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Laplacian Regularized Sparse Representation Based Classifier for Identifying DNA N4-Methylcytosine Sites via $L_{2,1/2}$L2,1/2-Matrix Norm.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
PLoS Comput. Biol., 2023
Virtual Screening of Traditional Chinese Medicine for Discovery of Potential Anti-SARS-CoV-2 Lead Molecules.
Proceedings of the 15th International Conference on Bioinformatics and Biomedical Technology, 2023
HGTDG: An Interpretable Heterogeneous Graph Transformer Framework for Cancer Driver Gene Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
KDProg: A Knowledge distillation graph neural network for cancer prognosis prediction and analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Human-Spa: An Online Platform Based on Spatial Transcriptome Data for Diseases of Human Systems.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Exploring Parameter-Efficient Fine-Tuning of a Large-Scale Pre-Trained Model for scRNA-seq Cell Type Annotation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Bioinform., November, 2022
A multi-label learning model for predicting drug-induced pathology in multi-organ based on toxicogenomics data.
PLoS Comput. Biol., September, 2022
MDADP: A Webserver Integrating Database and Prediction Tools for Microbe-Disease Associations.
IEEE J. Biomed. Health Informatics, 2022
C-Loss Based Higher Order Fuzzy Inference Systems for Identifying DNA N4-Methylcytosine Sites.
IEEE Trans. Fuzzy Syst., 2022
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
CRBPDL: Identification of circRNA-RBP interaction sites using an ensemble neural network approach.
PLoS Comput. Biol., 2022
Shared subspace-based radial basis function neural network for identifying ncRNAs subcellular localization.
Neural Networks, 2022
webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study.
Nucleic Acids Res., 2022
MLapSVM-LBS: Predicting DNA-binding proteins via a multiple Laplacian regularized support vector machine with local behavior similarity.
Knowl. Based Syst., 2022
Frontiers Comput. Sci., 2022
Identification and classification of promoters using the attention mechanism based on long short-term memory.
Frontiers Comput. Sci., 2022
DeepM6ASeq-EL: prediction of human N6-methyladenosine (m<sup>6</sup>A) sites with LSTM and ensemble learning.
Frontiers Comput. Sci., 2022
MechRetro is a chemical-mechanism-driven graph learning framework for interpretable retrosynthesis prediction and pathway planning.
CoRR, 2022
Single-cell RNA analysis reveals the potential risk of organ-specific cell types vulnerable to SARS-CoV-2 infections.
Comput. Biol. Medicine, 2022
Comput. Biol. Medicine, 2022
A road map for happiness: The psychological factors related cell types in various parts of human body from single cell RNA-seq data analysis.
Comput. Biol. Medicine, 2022
AMPpred-EL: An effective antimicrobial peptide prediction model based on ensemble learning.
Comput. Biol. Medicine, 2022
BMC Bioinform., 2022
webSCST: an interactive web application for single-cell RNA-sequencing data and spatial transcriptomic data integration.
Bioinform., 2022
Effector-GAN: prediction of fungal effector proteins based on pretrained deep representation learning methods and generative adversarial networks.
Bioinform., 2022
Bioinform., 2022
NerLTR-DTA: drug-target binding affinity prediction based on neighbor relationship and learning to rank.
Bioinform., 2022
Bioinform., 2022
GMNN2CD: identification of circRNA-disease associations based on variational inference and graph Markov neural networks.
Bioinform., 2022
A hybrid deep learning framework for gene regulatory network inference from single-cell transcriptomic data.
Briefings Bioinform., 2022
Briefings Bioinform., 2022
A novel convolution attention model for predicting transcription factor binding sites by combination of sequence and shape.
Briefings Bioinform., 2022
Critical assessment of computational tools for prokaryotic and eukaryotic promoter prediction.
Briefings Bioinform., 2022
MDICC: novel method for multi-omics data integration and cancer subtype identification.
Briefings Bioinform., 2022
Distant metastasis identification based on optimized graph representation of gene interaction patterns.
Briefings Bioinform., 2022
Identification of drug-side effect association via restricted Boltzmann machines with penalized term.
Briefings Bioinform., 2022
Characterizing viral circRNAs and their application in identifying circRNAs in viruses.
Briefings Bioinform., 2022
Briefings Bioinform., 2022
DeepCap-Kcr: accurate identification and investigation of protein lysine crotonylation sites based on capsule network.
Briefings Bioinform., 2022
Briefings Bioinform., 2022
Identification of drug-target interactions via multiple kernel-based triple collaborative matrix factorization.
Briefings Bioinform., 2022
NmRF: identification of multispecies RNA 2'-O-methylation modification sites from RNA sequences.
Briefings Bioinform., 2022
GATSDCD: Prediction of circRNA-Disease Associations Based on Singular Value Decomposition and Graph Attention Network.
Proceedings of the Intelligent Computing Theories and Application, 2022
Predicting cell type-specific effects of variants on TF-DNA binding by meta-learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Single-cell TF-DNA binding prediction and analysis based on transfer learning framework.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Kernel Risk Sensitive Loss-based Echo State Networks for Predicting Therapeutic Peptides with Sparse Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
ITP-Pred: an interpretable method for predicting, therapeutic peptides with fused features low-dimension representation.
Briefings Bioinform., July, 2021
IEEE J. Biomed. Health Informatics, 2021
iPro2L-PSTKNC: A Two-Layer Predictor for Discovering Various Types of Promoters by Position Specific of Nucleotide Composition.
IEEE J. Biomed. Health Informatics, 2021
Prediction of drug-target interactions based on multi-layer network representation learning.
Neurocomputing, 2021
A Convolutional Neural Network Using Dinucleotide One-hot Encoder for identifying DNA N6-Methyladenine Sites in the Rice Genome.
Neurocomputing, 2021
Using a low correlation high orthogonality feature set and machine learning methods to identify plant pentatricopeptide repeat coding gene/protein.
Neurocomputing, 2021
Computational biology and chemistry Special section editorial: Computational analyses for miRNA.
Comput. Biol. Chem., 2021
CarSite-II: an integrated classification algorithm for identifying carbonylated sites based on K-means similarity-based undersampling and synthetic minority oversampling techniques.
BMC Bioinform., 2021
DeepAc4C: a convolutional neural network model with hybrid features composed of physicochemical patterns and distributed representation information for identification of N4-acetylcytidine in mRNA.
Bioinform., 2021
BP4RNAseq: a babysitter package for retrospective and newly generated RNA-seq data analyses using both alignment-based and alignment-free quantification method.
Bioinform., 2021
Identification of sub-Golgi protein localization by use of deep representation learning features.
Bioinform., 2021
Minirmd: accurate and fast duplicate removal tool for short reads via multiple minimizers.
Bioinform., 2021
A comprehensive overview and critical evaluation of gene regulatory network inference technologies.
Briefings Bioinform., 2021
High-resolution transcription factor binding sites prediction improved performance and interpretability by deep learning method.
Briefings Bioinform., 2021
Briefings Bioinform., 2021
GutBalance: a server for the human gut microbiome-based disease prediction and biomarker discovery with compositionality addressed.
Briefings Bioinform., 2021
DisBalance: a platform to automatically build balance-based disease prediction models and discover microbial biomarkers from microbiome data.
Briefings Bioinform., 2021
An in silico approach to identification, categorization and prediction of nucleic acid binding proteins.
Briefings Bioinform., 2021
Machine learning for phytopathology: from the molecular scale towards the network scale.
Briefings Bioinform., 2021
The accurate prediction and characterization of cancerlectin by a combined machine learning and GO analysis.
Briefings Bioinform., 2021
Revisiting genome-wide association studies from statistical modelling to machine learning.
Briefings Bioinform., 2021
Prediction of RNA-binding protein and alternative splicing event associations during epithelial-mesenchymal transition based on inductive matrix completion.
Briefings Bioinform., 2021
Matrix factorization-based data fusion for the prediction of RNA-binding proteins and alternative splicing event associations during epithelial-mesenchymal transition.
Briefings Bioinform., 2021
A spectral clustering with self-weighted multiple kernel learning method for single-cell RNA-seq data.
Briefings Bioinform., 2021
Briefings Bioinform., 2021
SubLocEP: a novel ensemble predictor of subcellular localization of eukaryotic mRNA based on machine learning.
Briefings Bioinform., 2021
Briefings Bioinform., 2021
DeepATT: a hybrid category attention neural network for identifying functional effects of DNA sequences.
Briefings Bioinform., 2021
MMFGRN: a multi-source multi-model fusion method for gene regulatory network reconstruction.
Briefings Bioinform., 2021
A comprehensive review of the imbalance classification of protein post-translational modifications.
Briefings Bioinform., 2021
IEEE Access Special Section Editorial: Feature Representation and Learning Methods With Applications in Large-Scale Biological Sequence Analysis.
IEEE Access, 2021
By hybrid neural networks for prediction and interpretation of transcription factor binding sites based on multi-omics.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Membrane Protein Identification via Multi-view Graph Regularized k-Local Hyperplane Distance Nearest Neighbor Model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
DeepAVP: A Dual-Channel Deep Neural Network for Identifying Variable-Length Antiviral Peptides.
IEEE J. Biomed. Health Informatics, 2020
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Exploration of the correlation between GPCRs and drugs based on a learning to rank algorithm.
Comput. Biol. Medicine, 2020
CWLy-SVM: A support vector machine-based tool for identifying cell wall lytic enzymes.
Comput. Biol. Chem., 2020
PPTPP: a novel therapeutic peptide prediction method using physicochemical property encoding and adaptive feature representation learning.
Bioinform., 2020
Basic polar and hydrophobic properties are the main characteristics that affect the binding of transcription factors to methylation sites.
Bioinform., 2020
StackCPPred: a stacking and pairwise energy content-based prediction of cell-penetrating peptides and their uptake efficiency.
Bioinform., 2020
mAML: an automated machine learning pipeline with a microbiome repository for human disease classification.
Database J. Biol. Databases Curation, 2020
Briefings Bioinform., 2020
Predicting disease-associated circular RNAs using deep forests combined with positive-unlabeled learning methods.
Briefings Bioinform., 2020
Comparative analysis and prediction of quorum-sensing peptides using feature representation learning and machine learning algorithms.
Briefings Bioinform., 2020
Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools.
Briefings Bioinform., 2020
Briefings Bioinform., 2020
Critical evaluation of web-based prediction tools for human protein subcellular localization.
Briefings Bioinform., 2020
Briefings Bioinform., 2020
HITS-PR-HHblits: protein remote homology detection by combining PageRank and Hyperlink-Induced Topic Search.
Briefings Bioinform., 2020
Briefings Bioinform., 2020
GRRFNet: Guided Regularized Random Forest-based Gene Regulatory Network Inference Using Data Integration.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Fast Prediction of Protein Methylation Sites Using a Sequence-Based Feature Selection Technique.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
PLoS Comput. Biol., 2019
Integration of deep feature representations and handcrafted features to improve the prediction of N<sup>6</sup>-methyladenosine sites.
Neurocomputing, 2019
Computing, 2019
Comput. Biol. Chem., 2019
A novel collaborative filtering model for LncRNA-disease association prediction based on the Naïve Bayesian classifier.
BMC Bioinform., 2019
Identifying protein-protein interface via a novel multi-scale local sequence and structural representation.
BMC Bioinform., 2019
PEPred-Suite: improved and robust prediction of therapeutic peptides using adaptive feature representation learning.
Bioinform., 2019
Bioinform., 2019
Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species.
Bioinform., 2019
Bioinform., 2019
Exploiting Discriminative Regions of Brain Slices Based on 2D CNNs for Alzheimer's Disease Classification.
IEEE Access, 2019
Proceedings of the Bioinformatics and Biomedical Engineering, 2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Grouped Correlational Generative Adversarial Networks for Discrete Electronic Health Records.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
Processing Optimization of Typed Resources with Synchronized Storage and Computation Adaptation in Fog Computing.
Wirel. Commun. Mob. Comput., 2018
Identifying Cleavage Sites of Gelatinases A and B by Integrating Feature Computing Models.
J. Univers. Comput. Sci., 2018
J. Parallel Distributed Comput., 2018
70ProPred: a predictor for discovering sigma70 promoters based on combining multiple features.
BMC Syst. Biol., 2018
BMC Bioinform., 2018
Efficient computation of motif discovery on Intel Many Integrated Core (MIC) Architecture.
BMC Bioinform., 2018
Prediction of potential disease-associated microRNAs using structural perturbation method.
Bioinform., 2018
Bioinform., 2018
O-GlcNAcPRED-II: an integrated classification algorithm for identifying O-GlcNAcylation sites based on fuzzy undersampling and a K-means PCA oversampling technique.
Bioinform., 2018
Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering, 2018
2017
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
Inferring MicroRNA-Disease Associations by Random Walk on a Heterogeneous Network with Multiple Data Sources.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
PLoS Comput. Biol., 2017
基于分层筛选和动态更新的并行选择集成算法 (Selective Ensemble Learning Algorithm Based on Hierarchical Selection and Dynamic Updating in Parallel).
计算机科学, 2017
Multiple Sequence Alignment Based on a Suffix Tree and Center-Star Strategy: A Linear Method for Multiple Nucleotide Sequence Alignment on Spark Parallel Framework.
J. Comput. Biol., 2017
Local-DPP: An improved DNA-binding protein prediction method by exploring local evolutionary information.
Inf. Sci., 2017
HPSLPred: An Ensemble Multi-label Classifier for Human Protein Subcellular Location Prediction with Imbalanced Source.
CoRR, 2017
BMC Syst. Biol., 2017
CMSA: a heterogeneous CPU/GPU computing system for multiple similar RNA/DNA sequence alignment.
BMC Bioinform., 2017
Artif. Intell. Medicine, 2017
HAlign-II: efficient ultra-large multiple sequence alignment and phylogenetic tree reconstruction with distributed and parallel computing.
Algorithms Mol. Biol., 2017
Bidirectional value driven design between economical planning and technical implementation based on data graph, information graph and knowledge graph.
Proceedings of the 15th IEEE International Conference on Software Engineering Research, 2017
Specifying architecture of knowledge graph with data graph, information graph, knowledge graph and wisdom graph.
Proceedings of the 15th IEEE International Conference on Software Engineering Research, 2017
A Pay as You Use Resource Security Provision Approach Based on Data Graph, Information Graph and Knowledge Graph.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Learning Planning and Recommendation Based on an Adaptive Architecture on Data Graph, Information Graph and Knowledge Graph.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017
Iteratively collective prediction of disease-gene associations through the incomplete network.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
2016
A novel features ranking metric with application to scalable visual and bioinformatics data classification.
Neurocomputing, 2016
Hierarchical support vector machine based structural classification with fused hierarchies.
Neurocomputing, 2016
Neurocomputing, 2016
Pretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy.
BMC Syst. Biol., 2016
Integrative approaches for predicting microRNA function and prioritizing disease-related microRNA using biological interaction networks.
Briefings Bioinform., 2016
Big Data Res., 2016
BDSCyto: An Automated Approach for Identifying Cytokines Based on Best Dimension Searching.
Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016
HPTree: Reconstructing phylogenetic trees for ultra-large unaligned DNA sequences via NJ model and Hadoop.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
Latent factor model with heterogeneous similarity regularization for predicting gene-disease associations.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
Frontiers Comput. Sci., 2015
HAlign: Fast multiple similar DNA/RNA sequence alignment based on the centre star strategy.
Bioinform., 2015
Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015
2014
Improved and Promising Identificationof Human MicroRNAs by Incorporatinga High-Quality Negative Set.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014
J. Appl. Math., 2014
Neurocomputing, 2014
Comput. Biol. Medicine, 2014
nDNA-prot: identification of DNA-binding proteins based on unbalanced classification.
BMC Bioinform., 2014
Using distances between Top-n-gram and residue pairs for protein remote homology detection.
BMC Bioinform., 2014
2013
2012
Bioinform., 2012
Proceedings of the Advances in Multimedia Information Processing - PCM 2012, 2012
Proceedings of the Web Technologies and Applications - 14th Asia-Pacific Web Conference, 2012
2011
Proceedings of the Web Technologies and Applications - 13th Asia-Pacific Web Conference, 2011
2010
Int. J. Bioinform. Res. Appl., 2010
Automatic extraction of ocean internal waves based on multi-scale fusion and elliptical tracking region method.
Proceedings of the Second International Conference on Internet Multimedia Computing and Service, 2010
2009
Predicting RNA secondary structure based on the class information and Hopfield network.
Comput. Biol. Medicine, 2009
Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009
2008
Interest filter vs. interest operator: Face recognition using Fisher linear discriminant based on interest filter representation.
Pattern Recognit. Lett., 2008
A Novel Comparative Sequence Analysis Method for ncRNA Secondary Structure Prediction without Multiple Sequence Alignment.
Proceedings of the Fourth International Conference on Natural Computation, 2008
Proceedings of the Fourth International Conference on Natural Computation, 2008
2007
RNA Secondary Structure Prediction Based on Forest Representation and Genetic Algorithm.
Proceedings of the Third International Conference on Natural Computation, 2007