Shaowu Zhang
Orcid: 0000-0003-1305-7447Affiliations:
- Northwestern Polytechnical University, Xi'an, China
According to our database1,
Shaowu Zhang
authored at least 58 papers
between 2003 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
MSCLK: Multi-scale fully separable convolution neural network with large kernels for early diagnosis of Alzheimer's disease.
Expert Syst. Appl., 2024
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
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
Quant. Biol., December, 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
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
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
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
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
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
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014
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
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
2012
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
BMC Bioinform., 2010
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
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
Bioinform., 2003