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Li Liao: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Robel Y. Kahsay, Li Liao, Guang R. Gao
    An Improved Hidden Markov Model for Transmembrane Topology Prediction. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2004, pp:634-639 [Conf]
  2. Sun Kim, Li Liao, Jean-Francois Tomb
    A probabilistic approach to sequence assembly validation. [Citation Graph (0, 0)][DBLP]
    BIOKDD, 2001, pp:38-43 [Conf]
  3. Sen Zhang, Li Liao, Jean-Francois Tomb, Jason Tsong-Li Wang
    Clustering and Classifying Enzymes in Metabolic Pathways: Some Preliminary Results. [Citation Graph (0, 0)][DBLP]
    BIOKDD, 2002, pp:19-24 [Conf]
  4. Li Liao, William Stafford Noble
    Combining pairwise sequence similarity and support vector machines for remote protein homology detection. [Citation Graph (0, 0)][DBLP]
    RECOMB, 2002, pp:225-232 [Conf]
  5. Roger Craig, Li Liao
    Protein classification using transductive learning on phylogenetic profiles. [Citation Graph (0, 0)][DBLP]
    SAC, 2006, pp:161-166 [Conf]
  6. Kishore Narra, Li Liao
    Using extended phylogenetc profiles and support vector machines for protein family classification. [Citation Graph (0, 0)][DBLP]
    SNPD, 2004, pp:152-157 [Conf]
  7. Robel Y. Kahsay, Guang R. Gao, Li Liao
    An improved hidden Markov model for transmembrane protein detection and topology prediction and its applications to complete genomes. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:9, pp:1853-1858 [Journal]
  8. Robel Y. Kahsay, Guoli Wang, Guang R. Gao, Li Liao, Roland L. Dunbrack Jr.
    Quasi-consensus-based comparison of profile hidden Markov models for protein sequences. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:10, pp:2287-2293 [Journal]
  9. Li Liao, William Stafford Noble
    Combining Pairwise Sequence Similarity and Support Vector Machines for Detecting Remote Protein Evolutionary and Structural Relationships. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Biology, 2003, v:10, n:6, pp:857-868 [Journal]
  10. Li Liao, Hareton K. N. Leung
    Testing techniques for SOA model. [Citation Graph (0, 0)][DBLP]
    SEDE, 2007, pp:159-164 [Conf]
  11. Li Liao, Hareton K. N. Leung, Yuzhong Qu
    Automated support of quality improvement. [Citation Graph (0, 0)][DBLP]
    IASTED Conf. on Software Engineering and Applications, 2004, pp:696-702 [Conf]

  12. Predicting Protein-Protein Interaction Based on Fisher Scores Extracted from Domain Profiles. [Citation Graph (, )][DBLP]


  13. Inferring functional linkage from residue level co-evolution information. [Citation Graph (, )][DBLP]


  14. Iterative weighting of phylogenetic profiles increases classification accuracy. [Citation Graph (, )][DBLP]


  15. Discriminating transmembrane proteins from signal peptides using SVM-Fisher approach. [Citation Graph (, )][DBLP]


  16. Information of Binding Sites Improves Prediction of Protein-Protein Interaction. [Citation Graph (, )][DBLP]


  17. Prediction of Antisense Oligonucleotide Efficacy Using Local and Global Structure Information with Support Vector Machines. [Citation Graph (, )][DBLP]


  18. SlopeMiner: An Improved Method for Mining Subtle Signals in Time Course Microarray Data. [Citation Graph (, )][DBLP]


  19. Constrained Fisher Scores Derived from Interaction Profile Hidden Markov Models Improve Protein to Protein Interaction Prediction. [Citation Graph (, )][DBLP]


  20. Phylogenetic tree information aids supervised learning for predicting protein-protein interaction based on distance matrices. [Citation Graph (, )][DBLP]


  21. Clustering exact matches of pairwise sequence alignments by weighted linear regression. [Citation Graph (, )][DBLP]


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