Lin Gao

Orcid: 0000-0001-6396-0787

Affiliations:
  • Xidian University, School of Computer Science and Technology, Xi'an, China


According to our database1, Lin Gao authored at least 51 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
HiSV: A control-free method for structural variation detection from Hi-C data.
PLoS Comput. Biol., January, 2023

2022
Conserved Control Path in Multilayer Networks.
Entropy, 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

MiRNA-disease association prediction based on meta-paths.
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

CCIP: predicting CTCF-mediated chromatin loops with transitivity.
Bioinform., 2021

Improving Single-Cell RNA-seq Clustering by Integrating Pathways.
Briefings Bioinform., 2021

The peripheral and core regions of virus-host network of COVID-19.
Briefings Bioinform., 2021

2020
Detection of Driver Modules with Rarely Mutated Genes in Cancers.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Cluster correlation based method for lncRNA-disease association prediction.
BMC Bioinform., 2020

2019
Human Pathway-Based Disease Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 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

lncSLdb: a resource for long non-coding RNA subcellular localization.
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

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
Abstracting minimal security-relevant behaviors for malware analysis.
J. Comput. Virol. Hacking Tech., 2013

Maximizing modularity intensity for community partition and evolution.
Inf. Sci., 2013

ppiPre: predicting protein-protein interactions by combining heterogeneous features.
BMC Syst. Biol., 2013

2012
Predicting protein complexes in protein interaction networks using a core-attachment algorithm based on graph communicability.
Inf. Sci., 2012

An algorithm for network motif discovery in biological networks.
Int. J. Data Min. Bioinform., 2012

Discovering protein complexes in protein interaction networks via exploring the weak ties effect.
BMC Syst. Biol., 2012

ppiPre - an R package for predicting protein-protein interactions.
Proceedings of the 6th IEEE International Conference on Systems Biology, 2012

2011
Identification of conserved protein complexes by module alignment.
Int. J. Data Min. Bioinform., 2011

A degree-distribution based hierarchical agglomerative clustering algorithm for protein complexes identification.
Comput. Biol. Chem., 2011

Global Network Alignment Based on Multiple Hub Seeds.
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

A centrality measure based on spectral optimization of modularity density.
Sci. China Inf. Sci., 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
MOHCS: Towards Mining Overlapping Highly Connected Subgraphs
CoRR, 2008

2006
Self-Assembly Based Models and Computation Algorithms for DNA.
Int. J. Unconv. Comput., 2006

2005
A DNA Based Evolutionary Algorithm for the Minimal Set Cover Problem.
Proceedings of the Advances in Intelligent Computing, 2005


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