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ORCIDShaowu Zhang 0001
Person information
- affiliation: Northwestern Polytechnical University, Xi'an, China
Other persons with the same name
- Shaowu Zhang (aka: ShaoWu Zhang, Shao-Wu Zhang) — disambiguation page
- Shaowu Zhang 0002 — Dalian University of Technology, Faculty of Electronic Information and Electrical Engineering, China
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Journal Articles
- 2023
[j37]Yan-Rui Qiang, Shao-Wu Zhang
, Jia-Ni Li, Yan Li, Qin-Yi Zhou:
Diagnosis of Alzheimer's disease by joining dual attention CNN and MLP based on structural MRIs, clinical and genetic data. Artif. Intell. Medicine 145: 102678 (2023)- [j36]Yue-Hua Feng, Shao-Wu Zhang, Yi-Yang Feng, Qing-Qing Zhang, Ming-Hui Shi, Jian-Yu Shi:
A social theory-enhanced graph representation learning framework for multitask prediction of drug-drug interactions. Briefings Bioinform. 24(1) (2023) - [j35]Jia-Ni Li, Shaowu Zhang, Yan-Rui Qiang, Qin-Yi Zhou:
A novel cross-layer dual encoding-shared decoding network framework with spatial self-attention mechanism for hippocampus segmentation. Comput. Biol. Medicine 167: 107584 (2023) - [j34]Qing-Qing Zhang, Shaowu Zhang, Yue-Hua Feng, Jian-Yu Shi:
Few-Shot Drug Synergy Prediction With a Prior-Guided Hypernetwork Architecture. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9709-9725 (2023) - 2022
- [j33]Teng Zhang, Shao-Wu Zhang, Jian Feng, Bei Zhang:
m 6 Aexpress-BHM: predicting m6A regulation of gene expression in multiple-groups context by a Bayesian hierarchical mixture model. Briefings Bioinform. 23(4) (2022) - [j32]Jinwang Feng, ShaoWu Zhang, Luonan Chen, Chunman Zuo, Alzheimer's Disease Neuroimaging Initiative:
Detection of Alzheimer's disease using features of brain region-of-interest-based individual network constructed with the sMRI image. Comput. Medical Imaging Graph. 98: 102057 (2022) - [j31]Shao-Wu Zhang, Jing-Yu Xu, Tong Zhang:
DGMP: Identifying Cancer Driver Genes by Jointing DGCN and MLP from Multi-omics Genomic Data. Genom. Proteom. Bioinform. 20(5): 928-938 (2022) - [j30]Jinwang Feng, Shaowu Zhang, Luonan Chen:
Extracting ROI-Based Contourlet Subband Energy Feature From the sMRI Image for Alzheimer's Disease Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1627-1639 (2022) - [j29]Fang Jing, Shaowu Zhang, Shihua Zhang:
Prediction of Transcription Factor Binding Sites With an Attention Augmented Convolutional Neural Network. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3614-3623 (2022) - 2021
- [j28]Song-Yao Zhang, Shaowu Zhang, Yujiao Tang, Xiaonan Fan, Jia Meng:
Funm6AViewer: a web server and R package for functional analysis of context-specific m6A RNA methylation. Bioinform. 37(22): 4277-4279 (2021) - [j27]Jinwang Feng, Shaowu Zhang, Luonan Chen, Jie Xia:
Alzheimer's disease classification using features extracted from nonsubsampled contourlet subband-based individual networks. Neurocomputing 421: 260-272 (2021) - [j26]Weifeng Guo, Xiangtian Yu, Qianqian Shi, Jing Liang, Shao-Wu Zhang, Tao Zeng:
Performance assessment of sample-specific network control methods for bulk and single-cell biological data analysis. PLoS Comput. Biol. 17(5) (2021) - [j25]Fang Jing, Shao-Wu Zhang, Zhen Cao, Shihua Zhang:
An Integrative Framework for Combining Sequence and Epigenomic Data to Predict Transcription Factor Binding Sites Using Deep Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 18(1): 355-364 (2021) - 2020
- [j24]Jinwang Feng, Shao-Wu Zhang, Luonan Chen, Alzheimer's Disease Neuroimaging Initiative:
Identification of Alzheimer's disease based on wavelet transformation energy feature of the structural MRI image and NN classifier. Artif. Intell. Medicine 108: 101940 (2020) - [j23]Weifeng Guo, Shaowu Zhang, Tao Zeng, Tatsuya Akutsu, Luonan Chen:
Network control principles for identifying personalized driver genes in cancer. Briefings Bioinform. 21(5): 1641-1662 (2020) - [j22]Ze-Gang Wei, Shao-Wu Zhang, Fei Liu:
smsMap: mapping single molecule sequencing reads by locating the alignment starting positions. BMC Bioinform. 21(1): 341 (2020) - [j21]Yue-Hua Feng, Shaowu Zhang, Jian-Yu Shi:
DPDDI: a deep predictor for drug-drug interactions. BMC Bioinform. 21(1): 419 (2020) - [j20]Fang Jing, Shao-Wu Zhang, Shihua Zhang:
Prediction of enhancer-promoter interactions using the cross-cell type information and domain adversarial neural network. BMC Bioinform. 21(1): 507 (2020) - 2019
- [j19]Song-Yao Zhang, Shao-Wu Zhang, Xiao-Nan Fan, Teng Zhang, Jia Meng, Yufei Huang:
FunDMDeep-m6A: identification and prioritization of functional differential m6A methylation genes. Bioinform. 35(14): i90-i98 (2019) - [j18]Xiao-Nan Fan, Shao-Wu Zhang, Song-Yao Zhang, Kunju Zhu, Songjian Lu:
Prediction of lncRNA-disease associations by integrating diverse heterogeneous information sources with RWR algorithm and positive pointwise mutual information. BMC Bioinform. 20(1): 87:1-87:12 (2019) - [j17]Xiao-Ying Yan, Shao-Wu Zhang, Chang-Run He:
Prediction of drug-target interaction by integrating diverse heterogeneous information source with multiple kernel learning and clustering methods. Comput. Biol. Chem. 78: 460-467 (2019) - [j16]Xiao-Nan Fan, Shao-Wu Zhang:
LPI-BLS: Predicting lncRNA-protein interactions with a broad learning system-based stacked ensemble classifier. Neurocomputing 370: 88-93 (2019) - [j15]Song-Yao Zhang, Shaowu Zhang, Xiaonan Fan, Jia Meng, Yidong Chen, Shou-Jiang Gao, Yufei Huang:
Global analysis of N6-methyladenosine functions and its disease association using deep learning and network-based methods. PLoS Comput. Biol. 15(1) (2019) - [j14]Weifeng Guo, Shao-Wu Zhang, Tao Zeng, Yan Li, Jianxi Gao, Luonan Chen:
A novel network control model for identifying personalized driver genes in cancer. PLoS Comput. Biol. 15(11) (2019) - 2018
- [j13]Weifeng Guo, Shao-Wu Zhang, Li-Li Liu, Fei Liu, Qianqian Shi, Lei Zhang, Ying Tang, Tao Zeng, Luonan Chen:
Discovering personalized driver mutation profiles of single samples in cancer by network control strategy. Bioinform. 34(11): 1893-1903 (2018) - [j12]Ze-Gang Wei, Shao-Wu Zhang:
NPBSS: a new PacBio sequencing simulator for generating the continuous long reads with an empirical model. BMC Bioinform. 19(1): 177:1-177:9 (2018) - [j11]Teng Zhang, Shao-Wu Zhang, Lin Zhang, Jia Meng:
trumpet: transcriptome-guided quality assessment of m6A-seq data. BMC Bioinform. 19(1): 260:1-260:11 (2018) - [j10]Hui Liu, Huaizhi Wang, Zhen Wei, Songyao Zhang, Gang Hua, Shao-Wu Zhang, Lin Zhang, Shou-Jiang Gao, Jia Meng, Xing Chen, Yufei Huang:
MeT-DB V2.0: elucidating context-specific functions of N6-methyl-adenosine methyltranscriptome. Nucleic Acids Res. 46(Database-Issue): D281-D287 (2018) - 2017
- [j9]Lian Liu, Shao-Wu Zhang, Yufei Huang, Jia Meng:
QNB: differential RNA methylation analysis for count-based small-sample sequencing data with a quad-negative binomial model. BMC Bioinform. 18(1): 387:1-387:12 (2017) - 2016
- [j8]Xiaodong Cui, Jia Meng, Shaowu Zhang, Yidong Chen, Yufei Huang:
A novel algorithm for calling mRNA m6A peaks by modeling biological variances in MeRIP-seq data. Bioinform. 32(12): 378-385 (2016) - [j7]Fei Liu, Shao-Wu Zhang, Weifeng Guo, Ze-Gang Wei, Luonan Chen:
Inference of Gene Regulatory Network Based on Local Bayesian Networks. PLoS Comput. Biol. 12(8) (2016) - [j6]Song-Yao Zhang, Shao-Wu Zhang, Lian Liu, Jia Meng, Yufei Huang:
m6A-Driver: Identifying Context-Specific mRNA m6A Methylation-Driven Gene Interaction Networks. PLoS Comput. Biol. 12(12) (2016) - [j5]Ze-Gang Wei, Shao-Wu Zhang, Fang Jing:
Exploring the interaction patterns among taxa and environments from marine metagenomic data. Quant. Biol. 4(2): 84-91 (2016) - 2014
- [j4]Wei Chen, Yongmei Cheng, Shao-Wu Zhang, Quan Pan:
Supervised method for periodontitis phenotypes prediction based on microbial composition using 16S rRNA sequences. Int. J. Comput. Biol. Drug Des. 7(2/3): 214-224 (2014) - 2010
- [j3]Shao-Wu Zhang, Yao-Jun Li, Li C. Xia, Quan Pan:
PPLook: an automated data mining tool for protein-protein interaction. BMC Bioinform. 11: 326 (2010) - [j2]Wei Chen, Shao-Wu Zhang, Yongmei Cheng, Quan Pan:
Prediction of protein-protein interaction types using the decision templates based on multiple classier fusion. Math. Comput. Model. 52(11-12): 2075-2084 (2010) - 2003
- [j1]Shao-Wu Zhang, Quan Pan, Hongcai Zhang, Yun-Long Zhang, Hai-Yu Wang:
Classification of protein quaternary structure with support vector machine. Bioinform. 19(18): 2390-2396 (2003)
Conference and Workshop Papers
- 2018
- [c19]Songyao Zhang, Shaowu Zhang, Xiaonan Fan, Jia Meng, Yidong Chen, Yufei Huang:
A Machine Learning Approach for Uncovering N6-methyladenosine-Disease Association. BCB 2018: 600 - [c18]Fang Jing, Shao-Wu Zhang, Zhen Cao, Shihua Zhang:
Combining Sequence and Epigenomic Data to Predict Transcription Factor Binding Sites Using Deep Learning. ISBRA 2018: 241-252 - 2015
- [c17]Xiaodong Cui, Zhen Wei, Lin Zhang, Hui Liu, Lei Sun, Shaowu Zhang, Yufei Huang, Jia Meng:
Sketching the distribution of transcriptomic features on RNA transcripts with Travis coordinates. BIBM 2015: 1536-1542 - [c16]Xiaodong Cui, Jia Meng, Shaowu Zhang, Yufei Huang:
Modeling of replicates variances for detecting RNA methylation site in MERIP-SEQ data. ChinaSIP 2015: 802-806 - 2014
- [c15]Lin Zhang, Jia Meng, Hui Liu, Xiaodong Cui, Shao-Wu Zhang, Yidong Chen, Yufei Huang:
Detecting differentially methylated mRNA from MeRIP-Seq with likelihood ratio test. GlobalSIP 2014: 1368-1371 - [c14]Yu-Chen Zhang, Shao-Wu Zhang, Lian Liu, Lin Zhang, Hui Liu, Xiaodong Cui, Yufei Huang, Jia Meng:
Differential analysis of RNA methylome with improved spatial resolution. GlobalSIP 2014: 1372-1375 - 2013
- [c13]Shao-Wu Zhang, Fei Liu, Ze-Gang Wei, Wei Chen, Chen Zhou:
Detecting seasonal marine microbial communities with symmetrical non-negative matrix factorization. BIBM 2013: 21-26 - [c12]Jia Meng, Xiaodong Cui, Hui Liu, Lin Zhang, Shaowu Zhang, Manjeet K. Rao, Yidong Chen, Yufei Huang:
Unveiling the dynamics in RNA epigenetic regulations. BIBM 2013: 139-144 - 2012
- [c11]Yi-Bin Wang, Yongmei Cheng, Shao-Wu Zhang, Wei Chen:
A seed-based approach to identify risk disease sub-networks in human lung cancer. ISB 2012: 135-141 - 2011
- [c10]Shao-Wu Zhang, Yongmei Cheng, Li Luo, Quan Pan:
Prediction of Protein-Protein Interaction Using Distance Frequency of Amino Acids Grouped with their Physicochemical Properties. BIC-TA 2011: 70-74 - 2010
- [c9]Kun Zhao, Shao-Wu Zhang, Quan Pan:
Finding Fuzzy Communities in Directed Networks. ANNIIP 2010: 3-12 - [c8]Wei Chen, Shao-Wu Zhang, Yongmei Cheng, Quan Pan:
Prediction of Protein-RNA interaction site using SVM-KNN algorithm with spatial information. BIBM 2010: 73-76 - [c7]Yingzhuo Wei, Shaowu Zhang, Chunhui Zhao, Feng Yang, Quan Pan:
Network-based modeling for analyzing the human skin microbiome. BIBM Workshops 2010: 119-123 - 2008
- [c6]Qi-Peng Li, Shao-Wu Zhang, Quan Pan:
Prediction of Protein Homo-oligomer Types with a Novel Approach of Glide Zoom Window Feature Extraction. ICIC (1) 2008: 71-78 - [c5]Shao-Wu Zhang, Wei Chen, Chunhui Zhao, Yongmei Cheng, Quan Pan:
Predicting Protein Quaternary Structure with Multi-scale Energy of Amino Acid Factor Solution Scores and Their Combination. ICMB 2008: 65-72 - [c4]Qi-Peng Li, Shao-Wu Zhang, Quan Pan:
Using Multi-scale Glide Zoom Window Feature Extraction Approach to Predict Protein Homo-oligomer Types. PRIB 2008: 78-86 - 2007
- [c3]ShaoWu Zhang, YunLong Zhang, JunHui Li, HuiFeng Yang, Yongmei Cheng, GuoPing Zhou:
A New Hybrid Approach to Predict Subcellular Localization by Incorporating Protein Evolutionary Conservation Information. LSMS (2) 2007: 172-179 - [c2]Jianyu Shi, Shao-Wu Zhang, Quan Pan, Yanning Zhang:
Using Decision Templates to Predict Subcellular Localization of Protein. PRIB 2007: 71-83 - 2006
- [c1]Jianyu Shi, Shao-Wu Zhang, Yan Liang, Quan Pan:
Prediction of Protein Subcellular Localizations Using Moment Descriptors and Support Vector Machine. PRIB 2006: 105-114
Coauthor Index
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