Lin Gao

Summary

Affiliation: Xidian University
Country: China

Publications

  1. pmc Detection of deregulated modules using deregulatory linked path
    Yuxuan Hu
    School of Computer Science and Technology, Xidian University, Xi an, Shaanxi, China
    PLoS ONE 8:e70412. 2013
  2. pmc A computational method based on the integration of heterogeneous networks for predicting disease-gene associations
    Xingli Guo
    School of Computer Science and Technology, Xidian University, Xi an City, Shaanxi Province, People s Republic of China
    PLoS ONE 6:e24171. 2011
  3. pmc A network based method for analysis of lncRNA-disease associations and prediction of lncRNAs implicated in diseases
    Xiaofei Yang
    School of Computer Science and Technology, Xidian University, Xi an, Shaanxi, China
    PLoS ONE 9:e87797. 2014
  4. pmc Seed selection strategy in global network alignment without destroying the entire structures of functional modules
    Bingbo Wang
    School of Computer Science and Technology, Xidian University, 710071, China
    Proteome Sci 10:S16. 2012
  5. ncbi request reprint Clustering algorithms for detecting functional modules in protein interaction networks
    Lin Gao
    School of Computer Science and Technology, Xidian University, Xi an 710071, China
    J Bioinform Comput Biol 7:217-42. 2009
  6. doi request reprint A degree-distribution based hierarchical agglomerative clustering algorithm for protein complexes identification
    Liang Yu
    School of Computer Science and Technology Xidian University, Xi an 710071, China
    Comput Biol Chem 35:298-307. 2011
  7. ncbi request reprint Identification of conserved protein complexes by module alignment
    Peng Gang Sun
    School of Computer Science and Technology, Xidian University, Xi an 710071, China
    Int J Data Min Bioinform 5:593-610. 2011
  8. pmc Prediction of human disease-related gene clusters by clustering analysis
    Peng Gang Sun
    School of Computer Science and Technology, Xidian University, Xi an 710071, China
    Int J Biol Sci 7:61-73. 2011
  9. pmc Discovering protein complexes in protein interaction networks via exploring the weak ties effect
    Xiaoke Ma
    School of Computer Science and Technology, Xidian University, PR China
    BMC Syst Biol 6:S6. 2012
  10. pmc Long non-coding RNAs function annotation: a global prediction method based on bi-colored networks
    Xingli Guo
    School of Computer Science and Technology, Xidian University, 2 South Taibai Road, Xi an Shaanxi, 710071, PR China
    Nucleic Acids Res 41:e35. 2013

Collaborators

Detail Information

Publications20

  1. pmc Detection of deregulated modules using deregulatory linked path
    Yuxuan Hu
    School of Computer Science and Technology, Xidian University, Xi an, Shaanxi, China
    PLoS ONE 8:e70412. 2013
    ..Hence, our method provides not only a strategy for detecting the deregulated links in regulatory networks, but also a way to identify concerning deregulated modules, thus contributing to the target selection of edgetic drugs. ..
  2. pmc A computational method based on the integration of heterogeneous networks for predicting disease-gene associations
    Xingli Guo
    School of Computer Science and Technology, Xidian University, Xi an City, Shaanxi Province, People s Republic of China
    PLoS ONE 6:e24171. 2011
    ....
  3. pmc A network based method for analysis of lncRNA-disease associations and prediction of lncRNAs implicated in diseases
    Xiaofei Yang
    School of Computer Science and Technology, Xidian University, Xi an, Shaanxi, China
    PLoS ONE 9:e87797. 2014
    ..Furthermore, our results for Alzheimer's disease, pancreatic cancer, and gastric cancer were verified by other independent studies. ..
  4. pmc Seed selection strategy in global network alignment without destroying the entire structures of functional modules
    Bingbo Wang
    School of Computer Science and Technology, Xidian University, 710071, China
    Proteome Sci 10:S16. 2012
    ..Furthermore These methods are lost in maximizing the number of aligned edges between two networks without considering the original structures of functional modules...
  5. ncbi request reprint Clustering algorithms for detecting functional modules in protein interaction networks
    Lin Gao
    School of Computer Science and Technology, Xidian University, Xi an 710071, China
    J Bioinform Comput Biol 7:217-42. 2009
    ..We also give a discussion about the functional annotation and validation of protein complexes. Finally, new progress and future research directions are discussed from the computational viewpoint...
  6. doi request reprint A degree-distribution based hierarchical agglomerative clustering algorithm for protein complexes identification
    Liang Yu
    School of Computer Science and Technology Xidian University, Xi an 710071, China
    Comput Biol Chem 35:298-307. 2011
    ..Furthermore, the predicted complexes by our method, whether dense or sparse, match well with known biological characteristics...
  7. ncbi request reprint Identification of conserved protein complexes by module alignment
    Peng Gang Sun
    School of Computer Science and Technology, Xidian University, Xi an 710071, China
    Int J Data Min Bioinform 5:593-610. 2011
    ..We test our method between Saccharomyces cerevisiae and Drosophila melanogaster. The results show that our method gets a higher accuracy for identification of conserved complexes...
  8. pmc Prediction of human disease-related gene clusters by clustering analysis
    Peng Gang Sun
    School of Computer Science and Technology, Xidian University, Xi an 710071, China
    Int J Biol Sci 7:61-73. 2011
    ....
  9. pmc Discovering protein complexes in protein interaction networks via exploring the weak ties effect
    Xiaoke Ma
    School of Computer Science and Technology, Xidian University, PR China
    BMC Syst Biol 6:S6. 2012
    ..Thus, there is a critical need to investigate the possibility of discovering protein complexes using the topological information hidden in edges...
  10. pmc Long non-coding RNAs function annotation: a global prediction method based on bi-colored networks
    Xingli Guo
    School of Computer Science and Technology, Xidian University, 2 South Taibai Road, Xi an Shaanxi, 710071, PR China
    Nucleic Acids Res 41:e35. 2013
    ..For the lncRNAs expressed in mouse embryo stem cells and neuronal cells, the inferred putative functions by our method highly match those in the known literature...
  11. ncbi request reprint A hybrid clustering algorithm for identifying modules in Protein-Protein Interaction networks
    Liang Yu
    School of Computer Science and Technology, Xidian University, Xi an, 710071, China
    Int J Data Min Bioinform 4:600-15. 2010
    ..The simulation results show that our algorithm provides an effective, reliable and scalable method of identifying modules in PPI networks...
  12. doi request reprint Event-related desynchronization and synchronization quantification in motor-related EEG by Kolmogorov entropy
    Lin Gao
    Institute of Biomedical Engineering, Key Laboratory of Biomedical Information Engineering of Education Ministry, Xi an Jiaotong University, Xi an 710049, Shaanxi, People s Republic of China
    J Neural Eng 10:036023. 2013
    ..In this paper, we sought a novel method using a nonlinear measurement to quantify the ERD/ERS time course of motor-related EEG...
  13. ncbi request reprint An algorithm for network motif discovery in biological networks
    Guimin Qin
    School of Computer Science and Technology, Xidian University Xi an, Shaanxi 710071, China
    Int J Data Min Bioinform 6:1-16. 2012
    ..And, it can also detect several consensus motifs with a given size, which may help biologists go further into cellular process...
  14. pmc Detecting overlapping protein complexes by rough-fuzzy clustering in protein-protein interaction networks
    Hao Wu
    School of Computer Science and Technology, Xidian University, Xi an, Shaanxi, China
    PLoS ONE 9:e91856. 2014
    ..Our method RFC works well for protein complexes detection and provides a new insight of network division, and it can also be applied to identify overlapping community structure in social networks and LFR benchmark networks. ..
  15. ncbi request reprint A method based on local density and random walks for complexes detection in protein interaction networks
    Liang Yu
    School of Computer Science and Technology, Xidian University, Xi an, P R China
    J Bioinform Comput Biol 8:47-62. 2010
    ..The results show that our method can find more protein complexes with high biological significance and obtains a significant improvement. Furthermore, our method is able to identify biologically significant overlapped protein complexes...
  16. doi request reprint Identification of core-attachment complexes based on maximal frequent patterns in protein-protein interaction networks
    Liang Yu
    School of Computer Science and Technology, Xidian University, No 2 Street Taibai Road, Shaanxi, Xi an, P R China
    Proteomics 11:3826-34. 2011
    ..Moreover, our method can detect GO-enriched complexes with disconnected cores compared with other methods based on the subgraph connectivity...
  17. doi request reprint Biological network analysis: insights into structure and functions
    Xiaoke Ma
    School of Computer Science and Technology, Xidian University, No 2 South Taibai Road, Xi an, Shaanxi 710071, P R China
    Brief Funct Genomics 11:434-42. 2012
    ..In this article, we reviewed the recent development in the biological network analysis. In detail, we first reviewed the interactome topological properties of biological networks, the methods for structure and functional patterns...
  18. ncbi request reprint Anti-triangle centrality-based community detection in complex networks
    Songwei Jia
    School of Computer Science and Technology, Xidian University, Xi an 710071, People s Republic of China
    IET Syst Biol 8:116-25. 2014
    ..The experimental results show that EACH is more accurate and has lower complexity in terms of community discovery and especially it can gain quite inherent and consistent communities with a maximal diameter of four jumps. ..
  19. pmc Controllability and observability analysis for vertex domination centrality in directed networks
    Bingbo Wang
    1 School of Computer Science and Technology, Xidian University, Xi an 2 School of Computer Science and Technology, Xi an University of Technology, Xi an
    Sci Rep 4:5399. 2014
    ..The experimental results provide strong evidence that our indices are effective and practical in accurately depicting the structure of directed networks. ..
  20. pmc Facilitating neuronal connectivity analysis of evoked responses by exposing local activity with principal component analysis preprocessing: simulation of evoked MEG
    Lin Gao
    Key Laboratory of Biomedical Information Engineering of Education Ministry, Institute of Biomedical Engineering, Xi an Jiaotong University, Xi an, 710049, Shaanxi, People s Republic of China
    Brain Topogr 26:201-11. 2013
    ..Therefore, PCA can be applied as a preprocessing approach to improve neuronal connectivity analysis for event related data...