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Xing-Ming Zhao
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2020 – today
- 2024
- [j68]Kai Shi
, Qiaohui Liu, Qingrong Ji, Qisheng He, Xing-Ming Zhao:
MicroHDF: predicting host phenotypes with metagenomic data using a deep forest-based framework. Briefings Bioinform. 25(6) (2024) - [i1]Zhigao Cai, Xing-Ming Zhao:
Enhancing Generalized Fetal Brain MRI Segmentation using A Cascade Network with Depth-wise Separable Convolution and Attention Mechanism. CoRR abs/2405.15205 (2024) - 2023
- [j67]Xingzhong Zhao
Deciphering the genetic architecture of human brain structure and function: a brief survey on recent advances of neuroimaging genomics. Briefings Bioinform. 24(2) (2023) - [j66]Long-Hao Jia, Yingjian Wu
A survey on computational strategies for genome-resolved gut metagenomics. Briefings Bioinform. 24(3) (2023) - [j65]Shaojun Pan
SemiBin2: self-supervised contrastive learning leads to better MAGs for short- and long-read sequencing. Bioinform. 39(Supplement-1): 21-29 (2023) - [j64]Zi-Chao Zhang
Improving Alzheimer's Disease Diagnosis With Multi-Modal PET Embedding Features by a 3D Multi-Task MLP-Mixer Neural Network. IEEE J. Biomed. Health Informatics 27(8): 4040-4051 (2023) - [c16]Xingzhong Zhao, Yucheng T. Yang, Xing-Ming Zhao:
Prioritizing genes associated with brain disorders by leveraging enhancer-promoter interactions in diverse neural cells and tissues. BIBM 2023: 4993-4995 - 2022
- [j63]Cui-Xiang Lin
An integrated brain-specific network identifies genes associated with neuropathologic and clinical traits of Alzheimer's disease. Briefings Bioinform. 23(1) (2022) - [j62]Guiying Dong
MorbidGCN: prediction of multimorbidity with a graph convolutional network based on integration of population phenotypes and disease network. Briefings Bioinform. 23(4) (2022) - [j61]Nayang Shan, Yao Lu, Hao Guo, Dongyu Li, Jitong Jiang, Linlin Yan, Jiudong Gao, Yong Ren, Xing-Ming Zhao
CITEdb: a manually curated database of cell-cell interactions in human. Bioinform. 38(22): 5144-5148 (2022) - [j60]Yanze Li
Consistent Alterations of Human Fecal Microbes After Transplantation into Germ-free Mice. Genom. Proteom. Bioinform. 20(2): 382-393 (2022) - [j59]Die Dai, Jiaying Zhu
GMrepo v2: a curated human gut microbiome database with special focus on disease markers and cross-dataset comparison. Nucleic Acids Res. 50(D1): 777-784 (2022) - [j58]Hanbo Jin, Guoru Hu, Chuqing Sun
mBodyMap: a curated database for microbes across human body and their associations with health and diseases. Nucleic Acids Res. 50(D1): 808-816 (2022) - [j57]Tianjiao Li, Xing-Ming Zhao
Co-VAE: Drug-Target Binding Affinity Prediction by Co-Regularized Variational Autoencoders. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 8861-8873 (2022) - 2021
- [j56]Anyi Yang
nMAGMA: a network-enhanced method for inferring risk genes from GWAS summary statistics and its application to schizophrenia. Briefings Bioinform. 22(4) (2021) - [j55]Jinglong Zhang
MAT2: manifold alignment of single-cell transcriptomes with cell triplets. Bioinform. 37(19): 3263-3269 (2021) - [j54]Hangyuan Yang
PhosIDN: an integrated deep neural network for improving protein phosphorylation site prediction by combining sequence and protein-protein interaction information. Bioinform. 37(24): 4668-4676 (2021) - [j53]Liting Song
STAB: a spatio-temporal cell atlas of the human brain. Nucleic Acids Res. 49(Database-Issue): D1029-D1037 (2021) - [j52]Senying Lai, Long-Hao Jia, Balakrishnan Subramanian
mMGE: a database for human metagenomic extrachromosomal mobile genetic elements. Nucleic Acids Res. 49(Database-Issue): D783-D791 (2021) - [j51]Sanathoi Gurumayum
OGEE v3: Online GEne Essentiality database with increased coverage of organisms and human cell lines. Nucleic Acids Res. 49(Database-Issue): D998-D1003 (2021) - [j50]Kai Shi
Identifying Molecular Biomarkers for Diseases With Machine Learning Based on Integrative Omics. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2514-2525 (2021) - 2020
- [j49]Hang Yang
GANcon: Protein Contact Map Prediction With Deep Generative Adversarial Network. IEEE Access 8: 80899-80907 (2020) - [j48]Ke Jin, Le Ou-Yang, Xing-Ming Zhao
scTSSR: gene expression recovery for single-cell RNA sequencing using two-side sparse self-representation. Bioinform. 36(10): 3131-3138 (2020) - [j47]Zi-Chao Zhang
A graph regularized generalized matrix factorization model for predicting links in biomedical bipartite networks. Bioinform. 36(11): 3474-3481 (2020) - [j46]Liangliang Liu, Shaowu Chen, Xiaofeng Zhu, Xing-Ming Zhao, Fang-Xiang Wu
Deep convolutional neural network for accurate segmentation and quantification of white matter hyperintensities. Neurocomputing 384: 231-242 (2020) - [j45]Sicheng Wu, Chuqing Sun
GMrepo: a database of curated and consistently annotated human gut metagenomes. Nucleic Acids Res. 48(Database-Issue): D545-D553 (2020)
2010 – 2019
- 2019
- [j44]Fenglin Luo, Minghui Wang, Yu Liu, Xing-Ming Zhao, Ao Li:
DeepPhos: prediction of protein phosphorylation sites with deep learning. Bioinform. 35(16): 2766-2773 (2019) - [j43]Xiao-Fei Zhang
EnImpute: imputing dropout events in single-cell RNA-sequencing data via ensemble learning. Bioinform. 35(22): 4827-4829 (2019) - [j42]Samantha Sayers, Li Li, Edison Ong
Victors: a web-based knowledge base of virulence factors in human and animal pathogens. Nucleic Acids Res. 47(Database-Issue): D693-D700 (2019) - [j41]Yin-Ying Wang
DrPOCS: Drug Repositioning Based on Projection Onto Convex Sets. IEEE ACM Trans. Comput. Biol. Bioinform. 16(1): 154-162 (2019) - [j40]Wen-Bin Xie
EmDL: Extracting miRNA-Drug Interactions from Literature. IEEE ACM Trans. Comput. Biol. Bioinform. 16(5): 1722-1728 (2019) - [j39]Le Ou-Yang
Joint Learning of Multiple Differential Networks With Latent Variables. IEEE Trans. Cybern. 49(9): 3494-3506 (2019) - 2018
- [j38]Na L. Gao, Chengwei Zhang, Zhanbing Zhang, Songnian Hu
MVP: a microbe-phage interaction database. Nucleic Acids Res. 46(Database-Issue): D700-D707 (2018) - [c15]Suyun Huang, Xing-Ming Zhao:
Prediction of Drug Response with a Topology Based Dual-Layer Network Model. ISBRA 2018: 3-12 - 2017
- [j37]Gui-Min Qin, Rui-Yi Li, Xing-Ming Zhao:
PhosD: inferring kinase-substrate interactions based on protein domains. Bioinform. 33(8): 1197-1204 (2017) - [j36]Wei-Hua Chen
OGEE v2: an update of the online gene essentiality database with special focus on differentially essential genes in human cancer cell lines. Nucleic Acids Res. 45(Database-Issue): D940-D944 (2017) - [j35]Guanghui Zhu
CSTEA: a webserver for the Cell State Transition Expression Atlas. Nucleic Acids Res. 45(Webserver-Issue): W103-W108 (2017) - [j34]Feng He
PCID: A Novel Approach for Predicting Disease Comorbidity by Integrating Multi-Scale Data. IEEE ACM Trans. Comput. Biol. Bioinform. 14(3): 678-686 (2017) - [c14]Guanghui Zhu, Rui Jiang, Xing-Ming Zhao:
PPIM: A protein-protein interaction database for Maize. CASE 2017: 97 - [c13]Tianyi Sun, Zhuo Liu
Exploring functional variant using a deep learning framework. CASE 2017: 98-99 - 2016
- [j33]Wei-Li Guo, Lin Zhu, Suping Deng, Xing-Ming Zhao, Deshuang Huang:
Understanding tissue-specificity with human tissue-specific regulatory networks. Sci. China Inf. Sci. 59(7): 070105:1-070105:10 (2016) - [j32]Ao Li, Xing-Ming Zhao, Shuigeng Zhou:
Data mining in systems biology. Neurocomputing 206: 1-2 (2016) - [j31]Gui-Min Qin, Yi-Bo Hou, Xing-Ming Zhao:
A systematic exploration of the associations between amino acid variants and post-translational modifications. Neurocomputing 206: 13-18 (2016) - [j30]Guanghui Zhu
A survey on biomarker identification based on molecular networks. Quant. Biol. 4(4): 310-319 (2016) - [j29]Xing-Ming Zhao:
Data Mining in Systems Biology. IEEE ACM Trans. Comput. Biol. Bioinform. 13(6): 1003 (2016) - [j28]Gui-Min Qin, Rui-Yi Li, Xing-Ming Zhao:
Identifying Disease Associated miRNAs Based on Protein Domains. IEEE ACM Trans. Comput. Biol. Bioinform. 13(6): 1027-1035 (2016) - [c12]Peipei Xiao, Xing-Ming Zhao:
The exploration of functional divergence between human and macaque brains based on gene networks. BIBM 2016: 1879-1884 - [c11]Yang Han, Xing-Ming Zhao:
A hybrid sequential feature selection approach for the diagnosis of Alzheimer's Disease. IJCNN 2016: 1216-1220 - 2015
- [j27]Hong-Qiang Wang, Chun-Hou Zheng, Xing-Ming Zhao:
jNMFMA: a joint non-negative matrix factorization meta-analysis of transcriptomics data. Bioinform. 31(4): 572-580 (2015) - [j26]Xing-Ming Zhao, Keqin Liu, Guanghui Zhu, Feng He, Béatrice Duval, Jean-Michel Richer, De-Shuang Huang, Changjun Jiang, Jin-Kao Hao, Luonan Chen:
Identifying cancer-related microRNAs based on gene expression data. Bioinform. 31(8): 1226-1234 (2015) - [j25]Xing-Ming Zhao:
Editorial - Data mining in bioinformatics. J. Bioinform. Comput. Biol. 13(6): 1502004:1-1502004:2 (2015) - 2014
- [j24]Mingjun Wang, Xing-Ming Zhao, Hao Tan, Tatsuya Akutsu
Cascleave 2.0, a new approach for predicting caspase and granzyme cleavage targets. Bioinform. 30(1): 71-80 (2014) - [j23]Xing-Ming Zhao, Alioune Ngom, Jin-Kao Hao:
Pattern recognition in bioinformatics. Neurocomputing 145: 1-2 (2014) - [j22]Wei-Hua Chen, Xing-Ming Zhao, Vera van Noort
Comments on "Human Dominant Disease Genes Are Enriched in Paralogs Originating from Whole Genome Duplication". PLoS Comput. Biol. 10(7) (2014) - 2013
- [j21]Xiaoping Liu
eFG: an electronic resource for Fusarium graminearum. Database J. Biol. Databases Curation 2013 (2013) - [j20]Xiujun Zhang
NARROMI: a noise and redundancy reduction technique improves accuracy of gene regulatory network inference. Bioinform. 29(1): 106-113 (2013) - [j19]Wei-Hua Chen
Human Monogenic Disease Genes Have Frequently Functionally Redundant Paralogs. PLoS Comput. Biol. 9(5) (2013) - [c10]Yan-Fen Dai, Yin-Ying Wang, Xing-Ming Zhao:
Predicting Therapeutic Targets with Integration of Heterogeneous Data Sources. PRIB 2013: 149-158 - [e1]Alioune Ngom, Enrico Formenti, Jin-Kao Hao, Xing-Ming Zhao, Twan van Laarhoven:
Pattern Recognition in Bioinformatics - 8th IAPR International Conference, PRIB 2013, Nice, France, June 17-20, 2013. Proceedings. Lecture Notes in Computer Science 7986, Springer 2013, ISBN 978-3-642-39158-3 [contents] - 2012
- [j18]Xiujun Zhang
Inferring gene regulatory networks from gene expression data by path consistency algorithm based on conditional mutual information. Bioinform. 28(1): 98-104 (2012) - [j17]Keqin Liu, Zhi-Ping Liu, Jin-Kao Hao
Identifying dysregulated pathways in cancers from pathway interaction networks. BMC Bioinform. 13: 126 (2012) - [j16]Yin-Ying Wang, Ke-Jia Xu, Jiangning Song
Exploring drug combinations in genetic interaction network. BMC Bioinform. 13(S-7): S7 (2012) - [j15]Ke-Jia Xu, Jiangning Song
The drug cocktail network. BMC Syst. Biol. 6(S-1): S5 (2012) - [j14]Xiaoping Liu
Identifying disease genes and module biomarkers by differential interactions. J. Am. Medical Informatics Assoc. 19(2): 241-248 (2012) - [c9]Haiying Wang
Drug-target network in myocardial infarction: A structural analysis. BIBM 2012: 1-4 - [c8]Fu-Yan Hu, Xing-Ming Zhao, Nelson L. S. Tang
Comparative analysis of protein-coding genes and long non-coding RNAs of prostate cancer between Caucasian and Chinese populations. ISB 2012: 291-296 - 2011
- [j13]Xing-Ming Zhao, Murat Iskar
Prediction of Drug Combinations by Integrating Molecular and Pharmacological Data. PLoS Comput. Biol. 7(12) (2011) - 2010
- [j12]Junfeng Xia
APIS: accurate prediction of hot spots in protein interfaces by combining protrusion index with solvent accessibility. BMC Bioinform. 11: 174 (2010) - [j11]Chenglei Sun, Xing-Ming Zhao, Weihua Tang, Luonan Chen:
FGsub: Fusarium graminearum protein subcellular localizations predicted from primary structures. BMC Syst. Biol. 4(S-2): S12 (2010) - [j10]Zikai Wu, Xing-Ming Zhao, Luonan Chen:
A systems biology approach to identify effective cocktail drugs. BMC Syst. Biol. 4(S-2): S7 (2010) - [j9]Xing-Ming Zhao, Yiu-ming Cheung
Analysis of Gene Expression Data Using Rpem Algorithm in Normal Mixture Model with Dynamic Adjustment of Learning Rate. Int. J. Pattern Recognit. Artif. Intell. 24(4): 651-666 (2010)
2000 – 2009
- 2009
- [j8]Xing-Ming Zhao, Rui-Sheng Wang
Automatic Modeling of Signaling Pathways by Network Flow Model. J. Bioinform. Comput. Biol. 7(2): 309-322 (2009) - [c7]Xing-Ming Zhao, Luonan Chen:
A New Balanced Ensemble Classifier for Predicting Fungi Protein Subcellular Localization Based on Protein Primary Structures. BMEI 2009: 1-5 - [c6]Ruiqi Wang, Xing-Ming Zhao, Zengrong Liu:
Modeling and Dynamical Analysis of Molecular Networks. Complex (2) 2009: 2139-2148 - 2008
- [j7]Xing-Ming Zhao, Yong Wang, Luonan Chen, Kazuyuki Aihara:
Gene function prediction using labeled and unlabeled data. BMC Bioinform. 9 (2008) - [j6]Chun-Hou Zheng, De-Shuang Huang, Xiangzhen Kong, Xing-Ming Zhao:
Gene Expression Data Classification Using Consensus Independent Component Analysis. Genom. Proteom. Bioinform. 6(2): 74-82 (2008) - [j5]Peng Chen
Predicting contact map using Radial Basis Function Neural Network with Conformational Energy Function. Int. J. Bioinform. Res. Appl. 4(2): 123-136 (2008) - [j4]Xing-Ming Zhao, Luonan Chen, Kazuyuki Aihara:
Protein function prediction with the shortest path in functional linkage graph and boosting. Int. J. Bioinform. Res. Appl. 4(4): 375-384 (2008) - [c5]Xing-Ming Zhao, Rui-Sheng Wang, Luonan Chen, Kazuyuki Aihara:
Automatic Modeling of Signal Pathways from Protein-Protein Interaction Networks. APBC 2008: 287-296 - [c4]Xing-Ming Zhao, Luonan Chen:
Domain-Domain Interaction Identification with a Feature Selection Approach. PRIB 2008: 178-186 - 2006
- [j3]Xing-Ming Zhao, Ji-Xiang Du, Hong-Qiang Wang, Yunping Zhu, Yixue Li:
A new technique for selecting features from protein sequences. Int. J. Pattern Recognit. Artif. Intell. 20(2): 271-283 (2006) - [j2]De-Shuang Huang, Xing-Ming Zhao, Guang-Bin Huang
Classifying protein sequences using hydropathy blocks. Pattern Recognit. 39(12): 2293-2300 (2006) - [c3]Xing-Ming Zhao, De-Shuang Huang, Shiwu Zhang, Yiu-ming Cheung:
Classifying G-Protein Coupled Receptors with Hydropathy Blocks and Support Vector Machines. ICIC (3) 2006: 593-602 - 2005
- [j1]Xing-Ming Zhao, Yiu-ming Cheung, De-Shuang Huang:
A novel approach to extracting features from motif content and protein composition for protein sequence classification. Neural Networks 18(8): 1019-1028 (2005) - 2004
- [c2]Xing-Ming Zhao, De-Shuang Huang, Yiu-ming Cheung, Hong-Qiang Wang, Xin Huang:
A Novel Hybrid GA/SVM System for Protein Sequences Classification. IDEAL 2004: 11-16 - [c1]Hong-Qiang Wang, De-Shuang Huang, Xing-Ming Zhao, Xin Huang:
A Novel Clustering Analysis Based on PCA and SOMs for Gene Expression Patterns. ISNN (2) 2004: 476-481
Coauthor Index
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last updated on 2024-12-02 22:31 CET by the dblp team
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