Shaowu Zhang

Orcid: 0000-0003-1305-7447

Affiliations:
  • Northwestern Polytechnical University, Xi'an, China


According to our database1, Shaowu Zhang authored at least 56 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A novel cross-layer dual encoding-shared decoding network framework with spatial self-attention mechanism for hippocampus segmentation.
Comput. Biol. Medicine, December, 2023

Diagnosis of Alzheimer's disease by joining dual attention CNN and MLP based on structural MRIs, clinical and genetic data.
Artif. Intell. Medicine, November, 2023

Few-Shot Drug Synergy Prediction With a Prior-Guided Hypernetwork Architecture.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

A social theory-enhanced graph representation learning framework for multitask prediction of drug-drug interactions.
Briefings Bioinform., January, 2023

2022
DGMP: Identifying Cancer Driver Genes by Jointing DGCN and MLP from Multi-omics Genomic Data.
Genom. Proteom. Bioinform., October, 2022

Prediction of Transcription Factor Binding Sites With an Attention Augmented Convolutional Neural Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Extracting ROI-Based Contourlet Subband Energy Feature From the sMRI Image for Alzheimer's Disease Classification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Detection of Alzheimer's disease using features of brain region-of-interest-based individual network constructed with the sMRI image.
Comput. Medical Imaging Graph., 2022

<i>m</i> <i>6</i> <i>Aexpress-BHM</i>: predicting m6A regulation of gene expression in multiple-groups context by a Bayesian hierarchical mixture model.
Briefings Bioinform., 2022

2021
Funm6AViewer: a web server and R package for functional analysis of context-specific m6A RNA methylation.
Bioinform., November, 2021

An Integrative Framework for Combining Sequence and Epigenomic Data to Predict Transcription Factor Binding Sites Using Deep Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Performance assessment of sample-specific network control methods for bulk and single-cell biological data analysis.
PLoS Comput. Biol., 2021

Alzheimer's disease classification using features extracted from nonsubsampled contourlet subband-based individual networks.
Neurocomputing, 2021

2020
smsMap: mapping single molecule sequencing reads by locating the alignment starting positions.
BMC Bioinform., 2020

Prediction of enhancer-promoter interactions using the cross-cell type information and domain adversarial neural network.
BMC Bioinform., 2020

DPDDI: a deep predictor for drug-drug interactions.
BMC Bioinform., 2020

Network control principles for identifying personalized driver genes in cancer.
Briefings Bioinform., 2020

Identification of Alzheimer's disease based on wavelet transformation energy feature of the structural MRI image and NN classifier.
Artif. Intell. Medicine, 2020

2019
Global analysis of N6-methyladenosine functions and its disease association using deep learning and network-based methods.
PLoS Comput. Biol., 2019

A novel network control model for identifying personalized driver genes in cancer.
PLoS Comput. Biol., 2019

LPI-BLS: Predicting lncRNA-protein interactions with a broad learning system-based stacked ensemble classifier.
Neurocomputing, 2019

Prediction of drug-target interaction by integrating diverse heterogeneous information source with multiple kernel learning and clustering methods.
Comput. Biol. Chem., 2019

Prediction of lncRNA-disease associations by integrating diverse heterogeneous information sources with RWR algorithm and positive pointwise mutual information.
BMC Bioinform., 2019

FunDMDeep-m6A: identification and prioritization of functional differential m6A methylation genes.
Bioinform., 2019

2018
MeT-DB V2.0: elucidating context-specific functions of N6-methyl-adenosine methyltranscriptome.
Nucleic Acids Res., 2018

trumpet: transcriptome-guided quality assessment of m6A-seq data.
BMC Bioinform., 2018

NPBSS: a new PacBio sequencing simulator for generating the continuous long reads with an empirical model.
BMC Bioinform., 2018

Discovering personalized driver mutation profiles of single samples in cancer by network control strategy.
Bioinform., 2018

Combining Sequence and Epigenomic Data to Predict Transcription Factor Binding Sites Using Deep Learning.
Proceedings of the Bioinformatics Research and Applications - 14th International Symposium, 2018

A Machine Learning Approach for Uncovering N6-methyladenosine-Disease Association.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017
QNB: differential RNA methylation analysis for count-based small-sample sequencing data with a quad-negative binomial model.
BMC Bioinform., 2017

2016
Exploring the interaction patterns among taxa and environments from marine metagenomic data.
Quant. Biol., 2016

m6A-Driver: Identifying Context-Specific mRNA m6A Methylation-Driven Gene Interaction Networks.
PLoS Comput. Biol., 2016

Inference of Gene Regulatory Network Based on Local Bayesian Networks.
PLoS Comput. Biol., 2016

A novel algorithm for calling mRNA m<sup>6</sup>A peaks by modeling biological variances in MeRIP-seq data.
Bioinform., 2016

2015
Modeling of replicates variances for detecting RNA methylation site in MERIP-SEQ data.
Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, 2015

Sketching the distribution of transcriptomic features on RNA transcripts with Travis coordinates.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Supervised method for periodontitis phenotypes prediction based on microbial composition using 16S rRNA sequences.
Int. J. Comput. Biol. Drug Des., 2014

Differential analysis of RNA methylome with improved spatial resolution.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Detecting differentially methylated mRNA from MeRIP-Seq with likelihood ratio test.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013
Detecting seasonal marine microbial communities with symmetrical non-negative matrix factorization.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

Unveiling the dynamics in RNA epigenetic regulations.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012
A seed-based approach to identify risk disease sub-networks in human lung cancer.
Proceedings of the 6th IEEE International Conference on Systems Biology, 2012

2011
Prediction of Protein-Protein Interaction Using Distance Frequency of Amino Acids Grouped with their Physicochemical Properties.
Proceedings of the Sixth International Conference on Bio-Inspired Computing: Theories and Applications, 2011

2010
Prediction of protein-protein interaction types using the decision templates based on multiple classier fusion.
Math. Comput. Model., 2010

PPLook: an automated data mining tool for protein-protein interaction.
BMC Bioinform., 2010

Network-based modeling for analyzing the human skin microbiome.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

Prediction of Protein-RNA interaction site using SVM-KNN algorithm with spatial information.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

Finding Fuzzy Communities in Directed Networks.
Proceedings of the Artificial Neural Networks and Intelligent Information Processing, 2010

2008
Using Multi-scale Glide Zoom Window Feature Extraction Approach to Predict Protein Homo-oligomer Types.
Proceedings of the Pattern Recognition in Bioinformatics, 2008

Predicting Protein Quaternary Structure with Multi-scale Energy of Amino Acid Factor Solution Scores and Their Combination.
Proceedings of the Medical Biometrics, First International Conference, 2008

Prediction of Protein Homo-oligomer Types with a Novel Approach of Glide Zoom Window Feature Extraction.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2008

2007
Using Decision Templates to Predict Subcellular Localization of Protein.
Proceedings of the Pattern Recognition in Bioinformatics, 2007

A New Hybrid Approach to Predict Subcellular Localization by Incorporating Protein Evolutionary Conservation Information.
Proceedings of the Life System Modeling and Simulation, International Conference, 2007

2006
Prediction of Protein Subcellular Localizations Using Moment Descriptors and Support Vector Machine.
Proceedings of the Pattern Recognition in Bioinformatics, International Workshop, 2006

2003
Classification of protein quaternary structure with support vector machine.
Bioinform., 2003


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