Lin Gao

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 34

Top Topics

Related Algorithms

Diabetes Mellitus

Protein Interaction

Machine Learning

Top Venues

Briefings Bioinform.

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Yahui Lei, Xiao-Tai Huang, Xingli Guo, Kei Hang Katie Chan, Lin Gao
DeepGRNCS: deep learning-based framework for jointly inferring gene regulatory networks across cell subpopulations. Briefings Bioinform. 25 (4) (2024)
Haojie Zhai, Yusen Ye, Yuxuan Hu, Lanying Wang, Lin Gao
Exploring Hierarchical Structures of Cell Types in scRNA-seq Data. ISBRA (2) (2024)
Weibing Wang, Yusen Ye, Lin Gao
Statistical modeling and significance estimation of multi-way chromatin contacts with HyperloopFinder. Briefings Bioinform. 25 (4) (2024)
Junping Li, Lin Gao, Yusen Ye
HiSV: A control-free method for structural variation detection from Hi-C data. PLoS Comput. Biol. 19 (1) (2023)
Xiaotai Huang, Songwei Jia, Lin Gao, Jing Wu
Reconstruction of human protein-coding gene functional association network based on machine learning. Briefings Bioinform. 23 (2) (2022)
Song Wang, Xiao-Tai Huang, Kei Hang Katie Chan, Lin Gao
IMRDriver: coding and non-coding cancer driver genes identification based on network propagation. BIBM (2022)
Liang Yu, Yujia Zheng, Bingyi Ju, Chunyan Ao, Lin Gao
Research progress of miRNA-disease association prediction and comparison of related algorithms. Briefings Bioinform. 23 (3) (2022)
Shujie Ren, Liang Yu, Lin Gao
Multidrug representation learning based on pretraining model and molecular graph for drug interaction and combination prediction. Bioinform. 38 (18) (2022)
Zepeng Liu, Xiao-Tai Huang, Kei Hang Katie Chan, Lin Gao
Predicting the functional effects of human non-coding variants based on stacking ensemble learning. BIBM (2022)
Bingbo Wang, Xiujuan Ma, Cunchi Wang, Mingjie Zhang, Qianhua Gong, Lin Gao
Conserved Control Path in Multilayer Networks. Entropy 24 (7) (2022)
Liang Yu, Yujia Zheng, Lin Gao
MiRNA-disease association prediction based on meta-paths. Briefings Bioinform. 23 (2) (2022)
Liang Yu, Meng Wang, Yang Yang, Fengdan Xu, Xu Zhang, Fei Xie, Lin Gao, Xiangzhi Li
Predicting therapeutic drugs for hepatocellular carcinoma based on tissue-specific pathways. PLoS Comput. Biol. 17 (2) (2021)
Xiao Wen, Lin Gao, Tuo Song, Chaoqun Jiang
CeNet Omnibus: an R/Shiny application to the construction and analysis of competing endogenous RNA network. BMC Bioinform. 22 (1) (2021)
Ran Duan, Lin Gao, Yong Gao, Yuxuan Hu, Han Xu, Mingfeng Huang, Kuo Song, Hongda Wang, Yongqiang Dong, Chaoqun Jiang, Chenxing Zhang, Songwei Jia
Evaluation and comparison of multi-omics data integration methods for cancer subtyping. PLoS Comput. Biol. 17 (8) (2021)
Weibing Wang, Lin Gao, Yusen Ye, Yong Gao
CCIP: predicting CTCF-mediated chromatin loops with transitivity. Bioinform. 37 (24) (2021)
Chenxing Zhang, Lin Gao, Bingbo Wang, Yong Gao
Improving Single-Cell RNA-seq Clustering by Integrating Pathways. Briefings Bioinform. 22 (6) (2021)
Yifan Shang, Lin Gao, Quan Zou, Liang Yu
Prediction of drug-target interactions based on multi-layer network representation learning. Neurocomputing 434 (2021)
Bingbo Wang, Xianan Dong, Jie Hu, Xiujuan Ma, Chao Han, Yajun Wang, Lin Gao
The peripheral and core regions of virus-host network of COVID-19. Briefings Bioinform. 22 (6) (2021)
Feng Li, Lin Gao, Bingbo Wang
Detection of Driver Modules with Rarely Mutated Genes in Cancers. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (2) (2020)
Qianqian Yuan, Xingli Guo, Yang Ren, Xiao Wen, Lin Gao
Cluster correlation based method for lncRNA-disease association prediction. BMC Bioinform. 21 (1) (2020)
Liang Yu, Lin Gao
Human Pathway-Based Disease Network. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (4) (2019)
Fei Song, Chunmei Cui, Lin Gao, Qinghua Cui
miES: predicting the essentiality of miRNAs with machine learning and sequence features. Bioinform. 35 (6) (2019)
Xiao Wen, Lin Gao, Xingli Guo, Xing Li, Xiaotai Huang, Ying Wang, Haifu Xu, Ruijie He, Chenglong Jia, Feixiang Liang
lncSLdb: a resource for long non-coding RNA subcellular localization. Database J. Biol. Databases Curation 2018 (2018)
Xiaoke Ma, Wanxin Tang, Peizhuo Wang, Xingli Guo, Lin Gao
Extracting Stage-Specific and Dynamic Modules Through Analyzing Multiple Networks Associated with Cancer Progression. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (2) (2018)
Kai Shi, Lin Gao, Bingbo Wang
Inferring Dysregulated Pathways of Driving Cancer Subtypes Through Multi-omics Integration. ISBRA (2018)
Songwei Jia, Lin Gao, Yong Gao, James Nastos, Xiao Wen, Xiaotai Huang, Haiyang Wang
Viewing the Meso-Scale Structures in Protein-Protein Interaction Networks Using 2-Clubs. IEEE Access 6 (2018)
Peizhuo Wang, Lin Gao, Yuxuan Hu, Feng Li
Feature related multi-view nonnegative matrix factorization for identifying conserved functional modules in multiple biological networks. BMC Bioinform. 19 (1) (2018)
Liang Yu, Jin Zhao, Lin Gao
Drug repositioning based on triangularly balanced structure for tissue-specific diseases in incomplete interactome. Artif. Intell. Medicine 77 (2017)
Liang Yu, Ruidan Su, Bingbo Wang, Long Zhang, Yapeng Zou, Jing Zhang, Lin Gao
Prediction of Novel Drugs for Hepatocellular Carcinoma Based on Multi-Source Random Walk. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (4) (2017)
Hao Wu, Lin Gao, Nikola K. Kasabov
Network-Based Method for Inferring Cancer Progression at the Pathway Level from Cross-Sectional Mutation Data. IEEE ACM Trans. Comput. Biol. Bioinform. 13 (6) (2016)
Songwei Jia, Lin Gao, Yong Gao, James Nastos, Xiao Wen, Xindong Zhang, Haiyang Wang
Exploring triad-rich substructures by graph-theoretic characterizations in complex networks. CoRR (2016)
Liang Yu, Bingbo Wang, Xiaoke Ma, Lin Gao
The extraction of drug-disease correlations based on module distance in incomplete human interactome. BMC Syst. Biol. 10 (4) (2016)
Yue Deng, Lin Gao, Xingli Guo, Bingbo Wang
Integrating phenotypic features and tissue-specific information to prioritize disease genes. Sci. China Inf. Sci. 59 (7) (2016)
Kai Shi, Lin Gao, Bingbo Wang
Systematic tracking of coordinated differential network motifs identifies novel disease-related genes by integrating multiple data. Neurocomputing 206 (2016)
Hao Wu, Lin Gao, Feng Li, Fei Song, Xiaofei Yang, Nikola K. Kasabov
Identifying overlapping mutated driver pathways by constructing gene networks in cancer. BMC Bioinform. 16 (S-5) (2015)
Xindong Zhang, Lin Gao, Zhi-Ping Liu, Luonan Chen
Identifying module biomarker in type 2 diabetes mellitus by discriminative area of functional activity. BMC Bioinform. 16 (2015)
Yue Deng, Lin Gao, Bingbo Wang
Erratum to: ppiPre: predicting protein-protein interactions by combining heterogeneous features. BMC Syst. Biol. 9 (2015)
Yue Deng, Lin Gao, Bingbo Wang
ppiPre: predicting protein-protein interactions by combining heterogeneous features. BMC Syst. Biol. 7 (S-2) (2013)
Peng-Gang Sun, Lin Gao, Yang Yang
Maximizing modularity intensity for community partition and evolution. Inf. Sci. 236 (2013)
Ying Cao, Qiguang Miao, Jiachen Liu, Lin Gao
Abstracting minimal security-relevant behaviors for malware analysis. J. Comput. Virol. Hacking Tech. 9 (4) (2013)
Xiaoke Ma, Lin Gao
Discovering protein complexes in protein interaction networks via exploring the weak ties effect. BMC Syst. Biol. 6 (S-1) (2012)
Yue Deng, Lin Gao
ppiPre - an R package for predicting protein-protein interactions. ISB (2012)
Xiaoke Ma, Lin Gao
Predicting protein complexes in protein interaction networks using a core-attachment algorithm based on graph communicability. Inf. Sci. 189 (2012)
Guimin Qin, Lin Gao
An algorithm for network motif discovery in biological networks. Int. J. Data Min. Bioinform. 6 (1) (2012)
Bingbo Wang, Lin Gao
Global Network Alignment Based on Multiple Hub Seeds. BIBM (2011)
Peng-Gang Sun, Lin Gao, Jia Song
Identification of conserved protein complexes by module alignment. Int. J. Data Min. Bioinform. 5 (6) (2011)
Liang Yu, Lin Gao, Kui Li, Yi Zhao, David K. Y. Chiu
A degree-distribution based hierarchical agglomerative clustering algorithm for protein complexes identification. Comput. Biol. Chem. 35 (5) (2011)
Guimin Qin, Lin Gao
Spectral clustering for detecting protein complexes in protein-protein interaction (PPI) networks. Math. Comput. Model. 52 (11-12) (2010)
Lidong Fu, Lin Gao, Xiaoke Ma
A centrality measure based on spectral optimization of modularity density. Sci. China Inf. Sci. 53 (9) (2010)
Jialu Hu, Lin Gao, Guimin Qin
Evaluation of subgraph searching algorithms detecting network motif in biological networks. Frontiers Comput. Sci. China 3 (3) (2009)
Lin Gao, Peng-Gang Sun, Jia Song
Clustering Algorithms for Detecting Functional Modules in protein Interaction Networks. J. Bioinform. Comput. Biol. 7 (1) (2009)
Wenbin Liu, Xiangou Zhu, Guandong Xu, Qiang Zhang, Lin Gao
A DNA Based Evolutionary Algorithm for the Minimal Set Cover Problem. ICIC (2) (2005)