Lin Gao

Summary

Affiliation: Xidian University
Country: China

Publications

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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

Collaborators

  • Peng Gang Sun
  • Liang Yu
  • Guimin Qin
  • Xiaoke Ma
  • Xingli Guo
  • Yuxuan Hu
  • Bingbo Wang
  • Xiaofei Yang
  • Yi Zhao
  • Fei Jiao
  • David K Y Chiu
  • Qixiang Shao
  • Qi Liao
  • Haitao Luo
  • Dechao Bu
  • Runsheng Chen
  • Guoguang Zhao
  • Hui Xiao
  • Kai Shi
  • Chunshui Wei
  • Anguo Dong

Detail Information

Publications14

  1. 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...
  2. 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...
  3. 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...
  4. 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...
  5. 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...
  6. 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...
  7. 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...
  8. 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...
  9. 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
    ....
  10. 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
    ....
  11. 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...
  12. 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...
  13. 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...
  14. 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. ..