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ORCIDLin Gao 0006
Person information
- affiliation: Xidian University, School of Computer Science and Technology, Xi'an, China
Other persons with the same name
- Lin Gao — disambiguation page
- Lin Gao 0001
![[0000-0002-0142-1515]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-0142-1515")
— Harbin Institute of Technology, School of Electronic and Information Engineering, Shenzhen, China (and 2 more) - Lin Gao 0002 — The University of New South Wales, Sydney, Australia
- Lin Gao 0003 — University of Electronic Science and Technology of China, School of Electronic Engineering, Center for Cyber Security, Chengdu, China
- Lin Gao 0004 — Chinese Academy of Sciences, Institute of Computing Technology, Beijing Key Laboratory of Mobile Computing and Pervasive Device, China (and 1 more)
- Lin Gao 0005 — Liaoning Technical University, School of Geomatics, Fuxin, China
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2020 – today
- 2024
[j55]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)- [j54]Weibing Wang, Yusen Ye, Lin Gao:
Statistical modeling and significance estimation of multi-way chromatin contacts with HyperloopFinder. Briefings Bioinform. 25(4) (2024) - [c11]Haojie Zhai, Yusen Ye, Yuxuan Hu, Lanying Wang, Lin Gao:
Exploring Hierarchical Structures of Cell Types in scRNA-seq Data. ISBRA (2) 2024: 1-13 - 2023
- [j53]Lu Chen, Liang Yu, Lin Gao:
Potent antibiotic design via guided search from antibacterial activity evaluations. Bioinform. 39(2) (2023) - [j52]Kai Yang, Lin Gao, HongXia Hao, Liang Yu:
Identification of a novel gene signature for the prognosis of sepsis. Comput. Biol. Medicine 159: 106958 (2023) - [j51]Xinyu Xu, Lin Gao, Liang Yu:
GOLF-Net: Global and local association fusion network for COVID-19 lung infection segmentation. Comput. Biol. Medicine 164: 107361 (2023) - [j50]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) - [c10]Liang Yu, Huan Zhu, Da Dong, Lin Gao:
Gene Expression Profile Prediction under Drug Action Based on Generative Adversarial Networks. BIBM 2023: 203-208 - [c9]Liang Yu, Lin Gao, Bo Li, Hongxia Hao, Lu Chen:
Application of Multi-Dimensional SNV Features in Supervised Learning. BIBM 2023: 4007-4013 - [c8]Yamin Liu, Yusen Ye, Lin Gao:
SpriteHyper2vec: A SCSPRITE Data Completion Method Based on Hypergraph Random Walk. CCIS 2023: 480-484 - 2022
- [j49]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) - [j48]Liang Yu, Yujia Zheng, Lin Gao:
MiRNA-disease association prediction based on meta-paths. Briefings Bioinform. 23(2) (2022) - [j47]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) - [j46]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): 4387-4394 (2022) - [j45]Bo Li, Liang Yu, Lin Gao:
Cancer classification based on multiple dimensions: SNV patterns. Comput. Biol. Medicine 151(Part): 106270 (2022) - [j44]Bingbo Wang, Xiujuan Ma, Cunchi Wang, Mingjie Zhang, Qianhua Gong, Lin Gao:
Conserved Control Path in Multilayer Networks. Entropy 24(7): 979 (2022) - [c7]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: 122-129 - [c6]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: 276-280 - 2021
- [j43]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) - [j42]Chenxing Zhang, Lin Gao, Bingbo Wang, Yong Gao:
Improving Single-Cell RNA-seq Clustering by Integrating Pathways. Briefings Bioinform. 22(6) (2021) - [j41]Weibing Wang, Lin Gao, Yusen Ye, Yong Gao:
CCIP: predicting CTCF-mediated chromatin loops with transitivity. Bioinform. 37(24): 4635-4642 (2021) - [j40]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): 75 (2021) - [j39]Yifan Shang, Lin Gao, Quan Zou, Liang Yu:
Prediction of drug-target interactions based on multi-layer network representation learning. Neurocomputing 434: 80-89 (2021) - [j38]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) - [j37]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) - 2020
- [j36]Qianqian Yuan, Xingli Guo, Yang Ren, Xiao Wen, Lin Gao:
Cluster correlation based method for lncRNA-disease association prediction. BMC Bioinform. 21(1): 180 (2020) - [j35]Bingbo Wang, Jie Hu, Yajun Wang, Chenxing Zhang, Yuanjun Zhou, Liang Yu, Xingli Guo, Lin Gao, Yunru Chen:
C3: connect separate connected components to form a succinct disease module. BMC Bioinform. 21(1): 433 (2020) - [j34]Feng Li, Lin Gao, Bingbo Wang:
Detection of Driver Modules with Rarely Mutated Genes in Cancers. IEEE ACM Trans. Comput. Biol. Bioinform. 17(2): 390-401 (2020) - [i4]Liang Yu, Mingfei Xia, Lin Gao:
A Node Embedding Framework for Integration of Similarity-based Drug Combination Prediction. CoRR abs/2002.10625 (2020)
2010 – 2019
- 2019
- [j33]Fei Song, Chunmei Cui, Lin Gao, Qinghua Cui:
miES: predicting the essentiality of miRNAs with machine learning and sequence features. Bioinform. 35(6): 1053-1054 (2019) - [j32]Liang Yu, Lin Gao:
Human Pathway-Based Disease Network. IEEE ACM Trans. Comput. Biol. Bioinform. 16(4): 1240-1249 (2019) - 2018
- [j31]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: 36780-36797 (2018) - [j30]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: bay085 (2018) - [j29]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): 394:1-394:13 (2018) - [j28]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): 647-658 (2018) - [c5]Kai Shi, Lin Gao, Bingbo Wang:
Inferring Dysregulated Pathways of Driving Cancer Subtypes Through Multi-omics Integration. ISBRA 2018: 101-112 - 2017
- [j27]Liang Yu, Jin Zhao, Lin Gao:
Drug repositioning based on triangularly balanced structure for tissue-specific diseases in incomplete interactome. Artif. Intell. Medicine 77: 53-63 (2017) - [j26]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): 966-977 (2017) - [i3]Liang Yu, Jin Zhao, Lin Gao:
Predicting potential treatments for complex diseases based on miRNA and tissue specificity. CoRR abs/1708.01502 (2017) - 2016
- [j25]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): 531-539 (2016) - [j24]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): 070101:1-070101:10 (2016) - [j23]Kai Shi, Lin Gao, Bingbo Wang:
Systematic tracking of coordinated differential network motifs identifies novel disease-related genes by integrating multiple data. Neurocomputing 206: 3-12 (2016) - [j22]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): 1036-1044 (2016) - [i2]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 abs/1602.05286 (2016) - 2015
- [j21]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: 92:1-92:10 (2015) - [j20]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): S3 (2015) - [j19]Yue Deng, Lin Gao, Bingbo Wang:
Erratum to: ppiPre: predicting protein-protein interactions by combining heterogeneous features. BMC Syst. Biol. 9: 50 (2015) - 2013
- [j18]Yue Deng, Lin Gao, Bingbo Wang:
ppiPre: predicting protein-protein interactions by combining heterogeneous features. BMC Syst. Biol. 7(S-2): S8 (2013) - [j17]Peng-Gang Sun, Lin Gao, Yang Yang:
Maximizing modularity intensity for community partition and evolution. Inf. Sci. 236: 83-92 (2013) - [j16]Ying Cao, Qiguang Miao, Jiachen Liu, Lin Gao:
Abstracting minimal security-relevant behaviors for malware analysis. J. Comput. Virol. Hacking Tech. 9(4): 193-204 (2013) - 2012
- [j15]Xiaoke Ma, Lin Gao:
Discovering protein complexes in protein interaction networks via exploring the weak ties effect. BMC Syst. Biol. 6(S-1): S6 (2012) - [j14]Guimin Qin, Lin Gao:
An algorithm for network motif discovery in biological networks. Int. J. Data Min. Bioinform. 6(1): 1-16 (2012) - [j13]Xiaoke Ma, Lin Gao:
Predicting protein complexes in protein interaction networks using a core-attachment algorithm based on graph communicability. Inf. Sci. 189: 233-254 (2012) - [c4]Yue Deng, Lin Gao:
ppiPre - an R package for predicting protein-protein interactions. ISB 2012: 333-337 - 2011
- [j12]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): 298-307 (2011) - [j11]Peng-Gang Sun, Lin Gao, Jia Song:
Identification of conserved protein complexes by module alignment. Int. J. Data Min. Bioinform. 5(6): 593-610 (2011) - [c3]Bingbo Wang, Lin Gao:
Global Network Alignment Based on Multiple Hub Seeds. BIBM 2011: 234-237 - 2010
- [j10]Lidong Fu, Lin Gao, Xiaoke Ma:
A centrality measure based on spectral optimization of modularity density. Sci. China Inf. Sci. 53(9): 1727-1737 (2010) - [j9]Liang Yu, Lin Gao, Peng-Gang Sun:
A hybrid clustering algorithm for identifying modules in Protein - Protein Interaction networks. Int. J. Data Min. Bioinform. 4(5): 600-615 (2010) - [j8]Liang Yu, Lin Gao, Danyang Wang, Shaofeng Fu:
Quantitative function for community structure detection. Int. J. Data Min. Model. Manag. 2(4): 351-368 (2010) - [j7]Guimin Qin, Lin Gao:
Spectral clustering for detecting protein complexes in protein-protein interaction (PPI) networks. Math. Comput. Model. 52(11-12): 2066-2074 (2010) - [c2]Liang Yu, Lin Gao, Chuiliang Kong:
Identification of core-attachment complexes based on maximal frequent patterns in protein-protein interaction networks. BIBM Workshops 2010: 29-34
2000 – 2009
- 2009
- [j6]Jialu Hu, Lin Gao, Guimin Qin:
Evaluation of subgraph searching algorithms detecting network motif in biological networks. Frontiers Comput. Sci. China 3(3): 412-416 (2009) - [j5]Lin Gao, Peng-Gang Sun, Jia Song:
Clustering Algorithms for Detecting Functional Modules in protein Interaction Networks. J. Bioinform. Comput. Biol. 7(1): 217-242 (2009) - 2008
- [i1]Xiahong Lin, Lin Gao, Kefei Chen, David K. Y. Chiu:
MOHCS: Towards Mining Overlapping Highly Connected Subgraphs. CoRR abs/0806.3215 (2008) - 2007
- [j4]Wenbin Liu, Xiangou Zhu, Lin Gao:
The Hamiltonian Cycle Problem Based on DNA Computing. Int. J. Unconv. Comput. 3(2): 69-77 (2007) - 2006
- [j3]Lin Gao, Wenbin Liu, Weifeng Li, David K. Y. Chiu:
Self-Assembly Based Models and Computation Algorithms for DNA. Int. J. Unconv. Comput. 2(3): 267-280 (2006) - 2005
- [c1]Wenbin Liu, Xiangou Zhu, Guandong Xu, Qiang Zhang, Lin Gao:
A DNA Based Evolutionary Algorithm for the Minimal Set Cover Problem. ICIC (2) 2005: 80-89 - 2003
- [j2]Wenbin Liu, Lin Gao, Xiangrong Liu, Shudong Wang, Jin Xu:
Solving the 3-SAT Problem Based on DNA Computing. J. Chem. Inf. Comput. Sci. 43(6): 1872-1875 (2003) - [j1]Wenbin Liu, Shudong Wang, Lin Gao, Fengyue Zhang, Jin Xu:
DNA Sequence Design Based on Template Strategy. J. Chem. Inf. Comput. Sci. 43(6): 2014-2018 (2003)
Coauthor Index
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