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Connection

Chunmei Liu to Algorithms

This is a "connection" page, showing publications Chunmei Liu has written about Algorithms.
Connection Strength

0.877
  1. Liu C, Che D, Liu X, Song Y. Applications of machine learning in genomics and systems biology. Comput Math Methods Med. 2013; 2013:587492.
    View in: PubMed
    Score: 0.088
  2. Li H, Liu C. A dynamic data-driven framework for biological data using 2D barcodes. Comput Math Methods Med. 2012; 2012:892098.
    View in: PubMed
    Score: 0.087
  3. Li H, Liu C. Biomarker identification using text mining. Comput Math Methods Med. 2012; 2012:135780.
    View in: PubMed
    Score: 0.086
  4. Li H, Liu C, Burge L, Southerland W. Identification of two post-translational modifications via tandem mass spectrometry. Int J Comput Biol Drug Des. 2012; 5(3-4):314-24.
    View in: PubMed
    Score: 0.085
  5. Li H, Liu C. Peptide sequence tag generation for tandem mass spectra containing post-translational modifications. Int J Comput Biol Drug Des. 2012; 5(3-4):325-34.
    View in: PubMed
    Score: 0.085
  6. Liu C, Li H. In silico prediction of post-translational modifications. Methods Mol Biol. 2011; 760:325-40.
    View in: PubMed
    Score: 0.076
  7. Chen P, Liu C, Burge L, Mahmood M, Southerland W, Gloster C. Protein fold classification with genetic algorithms and feature selection. J Bioinform Comput Biol. 2009 Oct; 7(5):773-88.
    View in: PubMed
    Score: 0.069
  8. Song Y, Liu C, Huang X, Malmberg RL, Xu Y, Cai L. Efficient parameterized algorithms for biopolymer structure-sequence alignment. IEEE/ACM Trans Comput Biol Bioinform. 2006 Oct-Dec; 3(4):423-32.
    View in: PubMed
    Score: 0.056
  9. Liu C, Yan B, Song Y, Xu Y, Cai L. Peptide sequence tag-based blind identification of post-translational modifications with point process model. Bioinformatics. 2006 Jul 15; 22(14):e307-13.
    View in: PubMed
    Score: 0.056
  10. Liu C, Song Y, Yan B, Xu Y, Cai L. Fast de novo peptide sequencing and spectral alignment via tree decomposition. Pac Symp Biocomput. 2006; 255-66.
    View in: PubMed
    Score: 0.054
  11. Liu C, Song Y, Hu P, Malmberg RL, Cai L. Efficient annotation of non-coding RNA structures including pseudoknots via automated filters. Comput Syst Bioinformatics Conf. 2006; 99-110.
    View in: PubMed
    Score: 0.054
  12. Song Y, Liu C, Malmberg R, Pan F, Cai L. Tree decomposition based fast search of RNA structures including pseudoknots in genomes. Proc IEEE Comput Syst Bioinform Conf. 2005; 223-34.
    View in: PubMed
    Score: 0.050
  13. Chen P, Liu C, Burge L, Mahmood M, Southerland W, Gloster C. Prediction of inter-residue contact clusters from hydrophobic cores. Int J Data Min Bioinform. 2010; 4(6):722-34.
    View in: PubMed
    Score: 0.018
  14. Song Y, Liu C, Malmberg RL, He C, Cai L. Memory efficient alignment between RNA sequences and stochastic grammar models of pseudoknots. Int J Bioinform Res Appl. 2006; 2(3):289-304.
    View in: PubMed
    Score: 0.013
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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