Shao-Wu Zhang - Publications

Institute of Biophysics, Chinese Academy of Sciences, Beijing, Beijing Shi, China 

9/64 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2015 Zhang LZ, Yan WY, Wang ZL, Guo YH, Yi Y, Zhang SW, Zeng ZJ. Differential protein expression analysis following olfactory learning in Apis cerana. Journal of Comparative Physiology. a, Neuroethology, Sensory, Neural, and Behavioral Physiology. PMID 26427996 DOI: 10.1007/s00359-015-1042-3  0.6
2014 Zhang LZ, Zhang SW, Wang ZL, Yan WY, Zeng ZJ. Cross-modal interaction between visual and olfactory learning in Apis cerana. Journal of Comparative Physiology. a, Neuroethology, Sensory, Neural, and Behavioral Physiology. 200: 899-909. PMID 25152937 DOI: 10.1007/s00359-014-0934-y  0.6
2014 Qin QH, Wang ZL, Tian LQ, Gan HY, Zhang SW, Zeng ZJ. The integrative analysis of microRNA and mRNA expression in Apis mellifera following maze-based visual pattern learning. Insect Science. 21: 619-36. PMID 24136738 DOI: 10.1111/1744-7917.12065  0.6
2012 Guez D, Zhu H, Zhang SW. Improved Cholinergic Transmission is Detrimental to Behavioural Plasticity in Honeybees (Apis mellifera). Biology. 1: 508-20. PMID 24832506 DOI: 10.3390/biology1030508  0.6
2012 Qin QH, He XJ, Tian LQ, Zhang SW, Zeng ZJ. Comparison of learning and memory of Apis cerana and Apis mellifera. Journal of Comparative Physiology. a, Neuroethology, Sensory, Neural, and Behavioral Physiology. 198: 777-86. PMID 22922838 DOI: 10.1007/s00359-012-0747-9  0.6
2008 Letzkus P, Boeddeker N, Wood JT, Zhang SW, Srinivasan MV. Lateralization of visual learning in the honeybee. Biology Letters. 4: 16-8. PMID 18029300 DOI: 10.1098/rsbl.2007.0466  0.6
2006 Letzkus P, Ribi WA, Wood JT, Zhu H, Zhang SW, Srinivasan MV. Lateralization of olfaction in the honeybee Apis mellifera. Current Biology : Cb. 16: 1471-6. PMID 16860748 DOI: 10.1016/j.cub.2006.05.060  0.6
2005 Guez D, Zhang SW, Srinivasan MV. Methyl parathion modifies foraging behaviour in honeybees (Apis mellifera). Ecotoxicology (London, England). 14: 431-7. PMID 16385737 DOI: 10.1007/s10646-004-1348-3  0.6
2005 Si A, Zhang SW, Maleszka R. Effects of caffeine on olfactory and visual learning in the honey bee (Apis mellifera). Pharmacology, Biochemistry, and Behavior. 82: 664-72. PMID 16375953 DOI: 10.1016/j.pbb.2005.11.009  0.6
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2019 Zhang SY, Zhang SW, Fan XN, Zhang T, Meng J, Huang Y. FunDMDeep-m6A: identification and prioritization of functional differential m6A methylation genes. Bioinformatics (Oxford, England). 35: i90-i98. PMID 31510685 DOI: 10.1093/bioinformatics/btz316  0.04
2016 Zhang S, Zhang S, Liu L, Meng J, Huang Y. m6A-Driver: Identifying Context-Specific mRNA m6A Methylation-Driven Gene Interaction Networks. Plos Computational Biology. 12: e1005287. PMID 28027310 DOI: 10.1371/journal.pcbi.1005287  0.04
2020 Feng J, Zhang SW, Chen L. Identification of Alzheimer's disease based on wavelet transformation energy feature of the structural MRI image and NN classifier. Artificial Intelligence in Medicine. 108: 101940. PMID 32972667 DOI: 10.1016/j.artmed.2020.101940  0.01
2020 Feng YH, Zhang SW, Shi JY. DPDDI: a deep predictor for drug-drug interactions. Bmc Bioinformatics. 21: 419. PMID 32972364 DOI: 10.1186/s12859-020-03724-x  0.01
2020 Wei ZG, Zhang SW, Liu F. smsMap: mapping single molecule sequencing reads by locating the alignment starting positions. Bmc Bioinformatics. 21: 341. PMID 32753028 DOI: 10.1186/s12859-020-03698-w  0.01
2020 Fan XN, Zhang SW, Zhang SY, Ni JJ. lncRNA_Mdeep: An Alignment-Free Predictor for Distinguishing Long Non-Coding RNAs from Protein-Coding Transcripts by Multimodal Deep Learning. International Journal of Molecular Sciences. 21. PMID 32718000 DOI: 10.3390/ijms21155222  0.01
2020 Liu L, Song B, Ma J, Song Y, Zhang SY, Tang Y, Wu X, Wei Z, Chen K, Su J, Rong R, Lu Z, de Magalhães JP, Rigden DJ, Zhang L, ... Zhang SW, et al. Bioinformatics approaches for deciphering the epitranscriptome: Recent progress and emerging topics. Computational and Structural Biotechnology Journal. 18: 1587-1604. PMID 32670500 DOI: 10.1016/j.csbj.2020.06.010  0.01
2020 Zhang SW, Zhang XX, Fan XN, Li WN. LPI-CNNCP: Prediction of lncRNA-protein interactions by using convolutional neural network with the copy-padding trick. Analytical Biochemistry. 113767. PMID 32454029 DOI: 10.1016/j.ab.2020.113767  0.01
2019 Guo W, Zhang SW, Zeng T, Li Y, Gao J, Chen L. A novel network control model for identifying personalized driver genes in cancer. Plos Computational Biology. 15: e1007520. PMID 31765387 DOI: 10.1371/journal.pcbi.1007520  0.01
2019 Guo WF, Zhang SW, Zeng T, Akutsu T, Chen L. Network control principles for identifying personalized driver genes in cancer. Briefings in Bioinformatics. PMID 31711128 DOI: 10.1093/bib/bbz089  0.01
2019 Zhang SW, Wang Y, Zhang XX, Wang JQ. Prediction of the RBP binding sites on lncRNAs using the high-order nucleotide encoding convolutional neural network. Analytical Biochemistry. 113364. PMID 31323206 DOI: 10.1016/j.ab.2019.113364  0.01
2019 Tang Y, Chen K, Wu X, Wei Z, Zhang SY, Song B, Zhang SW, Huang Y, Meng J. DRUM: Inference of Disease-Associated mA RNA Methylation Sites From a Multi-Layer Heterogeneous Network. Frontiers in Genetics. 10: 266. PMID 31001320 DOI: 10.3389/fgene.2019.00266  0.01
2019 Wei ZG, Zhang SW. DMSC: A Dynamic Multi-Seeds Method for Clustering 16S rRNA Sequences Into OTUs. Frontiers in Microbiology. 10: 428. PMID 30915052 DOI: 10.3389/fmicb.2019.00428  0.01
2019 Fan XN, Zhang SW, Zhang SY, Zhu K, Lu S. Prediction of lncRNA-disease associations by integrating diverse heterogeneous information sources with RWR algorithm and positive pointwise mutual information. Bmc Bioinformatics. 20: 87. PMID 30782113 DOI: 10.1186/s12859-019-2675-y  0.01
2019 Zhang SY, Zhang SW, Fan XN, Meng J, Chen Y, Gao SJ, Huang Y. Global analysis of N6-methyladenosine functions and its disease association using deep learning and network-based methods. Plos Computational Biology. 15: e1006663. PMID 30601803 DOI: 10.1371/journal.pcbi.1006663  0.01
2018 Shi JY, Zhang AQ, Zhang SW, Mao KT, Yiu SM. A unified solution for different scenarios of predicting drug-target interactions via triple matrix factorization. Bmc Systems Biology. 12: 136. PMID 30598094 DOI: 10.1186/s12918-018-0663-x  0.01
2018 Yan XY, Zhang SW, He CR. Prediction of drug-target interaction by integrating diverse heterogeneous information source with multiple kernel learning and clustering methods. Computational Biology and Chemistry. PMID 30528728 DOI: 10.1016/j.compbiolchem.2018.11.028  0.01
2018 Shi JY, Shang XQ, Gao K, Zhang SW, Yiu SM. An Integrated Local Classification Model of Predicting Drug-Drug Interactions via Dempster-Shafer Theory of Evidence. Scientific Reports. 8: 11829. PMID 30087377 DOI: 10.1038/s41598-018-30189-z  0.01
2018 Zhang T, Zhang SW, Zhang L, Meng J. trumpet: transcriptome-guided quality assessment of mA-seq data. Bmc Bioinformatics. 19: 260. PMID 30001693 DOI: 10.1186/s12859-018-2266-3  0.01
2018 Wei ZG, Zhang SW. NPBSS: a new PacBio sequencing simulator for generating the continuous long reads with an empirical model. Bmc Bioinformatics. 19: 177. PMID 29788930 DOI: 10.1186/s12859-018-2208-0  0.01
2018 Guo WF, Zhang SW, Shi QQ, Zhang CM, Zeng T, Chen L. A novel algorithm for finding optimal driver nodes to target control complex networks and its applications for drug targets identification. Bmc Genomics. 19: 924. PMID 29363426 DOI: 10.1186/s12864-017-4332-z  0.01
2018 Guo WF, Zhang SW, Liu LL, Liu F, Shi QQ, Zhang L, Tang Y, Zeng T, Chen L. Discovering personalized driver mutation profiles of single samples in cancer by network control strategy. Bioinformatics (Oxford, England). PMID 29329368 DOI: 10.1093/bioinformatics/bty006  0.01
2017 Zhang SW, Jin XY, Zhang T. Gene Prediction in Metagenomic Fragments with Deep Learning. Biomed Research International. 2017: 4740354. PMID 29250541 DOI: 10.1155/2017/4740354  0.01
2017 Liu H, Wang H, Wei Z, Zhang S, Hua G, Zhang SW, Zhang L, Gao SJ, Meng J, Chen X, Huang Y. MeT-DB V2.0: elucidating context-specific functions of N6-methyl-adenosine methyltranscriptome. Nucleic Acids Research. PMID 29126312 DOI: 10.1093/nar/gkx1080  0.01
2017 Tan B, Liu H, Zhang S, da Silva SR, Zhang L, Meng J, Cui X, Yuan H, Sorel O, Zhang SW, Huang Y, Gao SJ. Viral and cellular N(6)-methyladenosine and N(6),2'-O-dimethyladenosine epitranscriptomes in the KSHV life cycle. Nature Microbiology. PMID 29109479 DOI: 10.1038/s41564-017-0056-8  0.01
2017 Liu L, Zhang SW, Huang Y, Meng J. QNB: differential RNA methylation analysis for count-based small-sample sequencing data with a quad-negative binomial model. Bmc Bioinformatics. 18: 387. PMID 28859631 DOI: 10.1186/s12859-017-1808-4  0.01
2017 Wei ZG, Zhang SW, Zhang YZ. DMclust, a Density-based Modularity Method for Accurate OTU Picking of 16S rRNA Sequences. Molecular Informatics. PMID 28586119 DOI: 10.1002/minf.201600059  0.01
2017 Zhang SW, Fan XN. Computational methods for predicting ncRNA-protein interactions. Medicinal Chemistry (Shariqah (United Arab Emirates)). PMID 28494725 DOI: 10.2174/1573406413666170510102405  0.01
2017 Wei ZG, Zhang SW. DBH: A de Bruijn graph-based heuristic method for clustering large-scale 16S rRNA sequences into OTUs. Journal of Theoretical Biology. PMID 28454900 DOI: 10.1016/j.jtbi.2017.04.019  0.01
2017 Zhang SW, Yan XY. Some Remarks on Prediction of Drug-Target Interaction with Network Models. Current Topics in Medicinal Chemistry. PMID 28413948 DOI: 10.2174/1568026617666170414145015  0.01
2017 Zhang SW, Gou WL, Li Y. Prediction of metabolic fluxes from gene expression data with Huber penalty convex optimization function. Molecular Biosystems. PMID 28338129 DOI: 10.1039/c6mb00811a  0.01
2016 Yan XY, Zhang SW. Identifying drug-target interactions with decision template. Current Protein & Peptide Science. PMID 27829344  0.01
2016 Liu F, Zhang SW, Guo WF, Wei ZG, Chen L. Inference of Gene Regulatory Network Based on Local Bayesian Networks. Plos Computational Biology. 12: e1005024. PMID 27479082 DOI: 10.1371/journal.pcbi.1005024  0.01
2016 Chai J, Ju J, Zhang SW, Shen ZY, Liang L, Yang XM, Ma C, Ni QW, Sun MY. p12CDK2-AP1 interacts with CD82 to regulate the proliferation and survival of human oral squamous cell carcinoma cells. Oncology Reports. PMID 27349208 DOI: 10.3892/or.2016.4893  0.01
2016 Cui X, Wei Z, Zhang L, Liu H, Sun L, Zhang SW, Huang Y, Meng J. Guitar: An R/Bioconductor Package for Gene Annotation Guided Transcriptomic Analysis of RNA-Related Genomic Features. Biomed Research International. 2016: 8367534. PMID 27239475 DOI: 10.1155/2016/8367534  0.01
2016 Liu L, Zhang SW, Gao F, Zhang Y, Huang Y, Chen R, Meng J. DRME: count-based differential RNA methylation analysis at small sample size scenario. Analytical Biochemistry. PMID 26851340 DOI: 10.1016/j.ab.2016.01.014  0.01
2015 Yan XY, Zhang SW, Zhang SY. Prediction of drug-target interaction by label propagation with mutual interaction information derived from heterogeneous network. Molecular Biosystems. PMID 26675534 DOI: 10.1039/c5mb00615e  0.01
2015 Zhou C, Zhang SW, Liu F. An ensemble method for reconstructing gene regulatory network with jackknife resampling and arithmetic mean fusion. International Journal of Data Mining and Bioinformatics. 12: 328-42. PMID 26510290  0.01
2015 Zhang YC, Zhang SW, Liu L, Liu H, Zhang L, Cui X, Huang Y, Meng J. Spatially Enhanced Differential RNA Methylation Analysis from Affinity-Based Sequencing Data with Hidden Markov Model. Biomed Research International. 2015: 852070. PMID 26301253 DOI: 10.1155/2015/852070  0.01
2015 Wei ZG, Zhang SW. MtHc: a motif-based hierarchical method for clustering massive 16S rRNA sequences into OTUs. Molecular Biosystems. 11: 1907-13. PMID 25912934 DOI: 10.1039/c5mb00089k  0.01
2015 Fan XN, Zhang SW. lncRNA-MFDL: identification of human long non-coding RNAs by fusing multiple features and using deep learning. Molecular Biosystems. 11: 892-7. PMID 25588719 DOI: 10.1039/c4mb00650j  0.01
2015 Zhang SW, Wei ZG. Some remarks on prediction of protein-protein interaction with machine learning. Medicinal Chemistry (ShāRiqah (United Arab Emirates)). 11: 254-64. PMID 25548927  0.01
2015 Liu L, Zhang SW, Zhang YC, Liu H, Zhang L, Chen R, Huang Y, Meng J. Decomposition of RNA methylome reveals co-methylation patterns induced by latent enzymatic regulators of the epitranscriptome. Molecular Biosystems. 11: 262-74. PMID 25370990 DOI: 10.1039/c4mb00604f  0.01
2014 Zhang SW, Zhang TH, Zhang JN, Huang Y. Prediction of Signal Peptide Cleavage Sites with Subsite-Coupled and Template Matching Fusion Algorithm. Molecular Informatics. 33: 230-9. PMID 27485691 DOI: 10.1002/minf.201300077  0.01
2014 Chen W, Cheng YM, Zhang SW, Pan Q. Supervised method for periodontitis phenotypes prediction based on microbial composition using 16S rRNA sequences. International Journal of Computational Biology and Drug Design. 7: 214-24. PMID 24878731 DOI: 10.1504/IJCBDD.2014.061647  0.01
2014 Liu F, Zhang SW, Wei ZG, Chen W, Zhou C. Mining seasonal marine microbial pattern with greedy heuristic clustering and symmetrical nonnegative matrix factorization. Biomed Research International. 2014: 189590. PMID 24877065 DOI: 10.1155/2014/189590  0.01
2014 Zhang SW, Shao DD, Zhang SY, Wang YB. Prioritization of candidate disease genes by enlarging the seed set and fusing information of the network topology and gene expression. Molecular Biosystems. 10: 1400-8. PMID 24695957 DOI: 10.1039/c3mb70588a  0.01
2014 Zhang SW, Hao LY, Zhang TH. Prediction of protein-protein interaction with pairwise kernel support vector machine. International Journal of Molecular Sciences. 15: 3220-33. PMID 24566145 DOI: 10.3390/ijms15023220  0.01
2014 Zhang SW, Liu YF, Yu Y, Zhang TH, Fan XN. MSLoc-DT: a new method for predicting the protein subcellular location of multispecies based on decision templates. Analytical Biochemistry. 449: 164-71. PMID 24361712 DOI: 10.1016/j.ab.2013.12.013  0.01
2011 Chen W, Zhang SW, Cheng YM, Pan Q. Identification of protein-RNA interaction sites using the information of spatial adjacent residues. Proteome Science. 9: S16. PMID 22165911 DOI: 10.1186/1477-5956-9-S1-S16  0.01
2010 Zhang SW, Li YJ, Xia L, Pan Q. PPLook: an automated data mining tool for protein-protein interaction. Bmc Bioinformatics. 11: 326. PMID 20550717 DOI: 10.1186/1471-2105-11-326  0.01
2010 Wei YZ, Zhang SW, Liu YW. [Detecting fire smoke based on the multispectral image]. Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu. 30: 1061-4. PMID 20545162  0.01
2008 Zhang SW, Chen W, Yang F, Pan Q. Using Chou's pseudo amino acid composition to predict protein quaternary structure: a sequence-segmented PseAAC approach. Amino Acids. 35: 591-8. PMID 18427713 DOI: 10.1007/s00726-008-0086-x  0.01
2008 Zhang SW, Zhang YL, Yang HF, Zhao CH, Pan Q. Using the concept of Chou's pseudo amino acid composition to predict protein subcellular localization: an approach by incorporating evolutionary information and von Neumann entropies. Amino Acids. 34: 565-72. PMID 18074191 DOI: 10.1007/s00726-007-0010-9  0.01
2003 Zhang SW, Pan Q, Zhang HC, Zhang YL, Wang HY. Classification of protein quaternary structure with support vector machine. Bioinformatics (Oxford, England). 19: 2390-6. PMID 14668222  0.01
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