Lin Gao
Orcid: 0000-0001-6396-0787Affiliations:
- Xidian University, School of Computer Science and Technology, Xi'an, China
According to our database1,
Lin Gao
authored at least 70 papers
between 2003 and 2024.
Collaborative distances:
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Bibliography
2024
Statistical modeling and significance estimation of multi-way chromatin contacts with HyperloopFinder.
Briefings Bioinform., 2024
DeepGRNCS: deep learning-based framework for jointly inferring gene regulatory networks across cell subpopulations.
Briefings Bioinform., 2024
Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024
2023
GOLF-Net: Global and local association fusion network for COVID-19 lung infection segmentation.
Comput. Biol. Medicine, September, 2023
Comput. Biol. Medicine, June, 2023
Bioinform., February, 2023
PLoS Comput. Biol., January, 2023
Proceedings of the 9th IEEE International Conference on Cloud Computing and Intelligent Systems, 2023
Gene Expression Profile Prediction under Drug Action Based on Generative Adversarial Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Comput. Biol. Medicine, 2022
Multidrug representation learning based on pretraining model and molecular graph for drug interaction and combination prediction.
Bioinform., 2022
Research progress of miRNA-disease association prediction and comparison of related algorithms.
Briefings Bioinform., 2022
Reconstruction of human protein-coding gene functional association network based on machine learning.
Briefings Bioinform., 2022
IMRDriver: coding and non-coding cancer driver genes identification based on network propagation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Predicting the functional effects of human non-coding variants based on stacking ensemble learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Predicting therapeutic drugs for hepatocellular carcinoma based on tissue-specific pathways.
PLoS Comput. Biol., 2021
Evaluation and comparison of multi-omics data integration methods for cancer subtyping.
PLoS Comput. Biol., 2021
Prediction of drug-target interactions based on multi-layer network representation learning.
Neurocomputing, 2021
CeNet Omnibus: an R/Shiny application to the construction and analysis of competing endogenous RNA network.
BMC Bioinform., 2021
Briefings Bioinform., 2021
Briefings Bioinform., 2021
2020
BMC Bioinform., December, 2020
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
A Node Embedding Framework for Integration of Similarity-based Drug Combination Prediction.
CoRR, 2020
BMC Bioinform., 2020
2019
miES: predicting the essentiality of miRNAs with machine learning and sequence features.
Bioinform., 2019
2018
Extracting Stage-Specific and Dynamic Modules Through Analyzing Multiple Networks Associated with Cancer Progression.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
Feature related multi-view nonnegative matrix factorization for identifying conserved functional modules in multiple biological networks.
BMC Bioinform., 2018
Database J. Biol. Databases Curation, 2018
Viewing the Meso-Scale Structures in Protein-Protein Interaction Networks Using 2-Clubs.
IEEE Access, 2018
Inferring Dysregulated Pathways of Driving Cancer Subtypes Through Multi-omics Integration.
Proceedings of the Bioinformatics Research and Applications - 14th International Symposium, 2018
2017
Prediction of Novel Drugs for Hepatocellular Carcinoma Based on Multi-Source Random Walk.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
Predicting potential treatments for complex diseases based on miRNA and tissue specificity.
CoRR, 2017
Drug repositioning based on triangularly balanced structure for tissue-specific diseases in incomplete interactome.
Artif. Intell. Medicine, 2017
2016
Network-Based Method for Inferring Cancer Progression at the Pathway Level from Cross-Sectional Mutation Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016
Systematic tracking of coordinated differential network motifs identifies novel disease-related genes by integrating multiple data.
Neurocomputing, 2016
Exploring triad-rich substructures by graph-theoretic characterizations in complex networks.
CoRR, 2016
Integrating phenotypic features and tissue-specific information to prioritize disease genes.
Sci. China Inf. Sci., 2016
The extraction of drug-disease correlations based on module distance in incomplete human interactome.
BMC Syst. Biol., 2016
2015
Erratum to: ppiPre: predicting protein-protein interactions by combining heterogeneous features.
BMC Syst. Biol., 2015
Identifying module biomarker in type 2 diabetes mellitus by discriminative area of functional activity.
BMC Bioinform., 2015
Identifying overlapping mutated driver pathways by constructing gene networks in cancer.
BMC Bioinform., 2015
2013
J. Comput. Virol. Hacking Tech., 2013
Inf. Sci., 2013
BMC Syst. Biol., 2013
2012
Predicting protein complexes in protein interaction networks using a core-attachment algorithm based on graph communicability.
Inf. Sci., 2012
Int. J. Data Min. Bioinform., 2012
Discovering protein complexes in protein interaction networks via exploring the weak ties effect.
BMC Syst. Biol., 2012
Proceedings of the 6th IEEE International Conference on Systems Biology, 2012
2011
Int. J. Data Min. Bioinform., 2011
A degree-distribution based hierarchical agglomerative clustering algorithm for protein complexes identification.
Comput. Biol. Chem., 2011
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011
2010
Spectral clustering for detecting protein complexes in protein-protein interaction (PPI) networks.
Math. Comput. Model., 2010
Int. J. Data Min. Model. Manag., 2010
A hybrid clustering algorithm for identifying modules in Protein - Protein Interaction networks.
Int. J. Data Min. Bioinform., 2010
Sci. China Inf. Sci., 2010
Identification of core-attachment complexes based on maximal frequent patterns in protein-protein interaction networks.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010
2009
Clustering Algorithms for Detecting Functional Modules in protein Interaction Networks.
J. Bioinform. Comput. Biol., 2009
Evaluation of subgraph searching algorithms detecting network motif in biological networks.
Frontiers Comput. Sci. China, 2009
2008
2007
2006
Self-Assembly Based Models and Computation Algorithms for DNA.
Int. J. Unconv. Comput., 2006
2005
Proceedings of the Advances in Intelligent Computing, 2005
2003