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Connection

Andrey Rzhetsky to Models, Biological

This is a "connection" page, showing publications Andrey Rzhetsky has written about Models, Biological.
Connection Strength

0.930
  1. Advancing science through mining libraries, ontologies, and communities. J Biol Chem. 2011 Jul 08; 286(27):23659-66.
    View in: PubMed
    Score: 0.232
  2. Probabilistic inference of molecular networks from noisy data sources. Bioinformatics. 2004 May 22; 20(8):1205-13.
    View in: PubMed
    Score: 0.140
  3. Of truth and pathways: chasing bits of information through myriads of articles. Bioinformatics. 2002; 18 Suppl 1:S249-57.
    View in: PubMed
    Score: 0.121
  4. A knowledge model for analysis and simulation of regulatory networks. Bioinformatics. 2000 Dec; 16(12):1120-8.
    View in: PubMed
    Score: 0.112
  5. When is it safe to use an oversimplified substitution model in tree-making? Mol Biol Evol. 1996 Nov; 13(9):1255-65.
    View in: PubMed
    Score: 0.085
  6. Conflicting biomedical assumptions for mathematical modeling: the case of cancer metastasis. PLoS Comput Biol. 2011 Oct; 7(10):e1002132.
    View in: PubMed
    Score: 0.060
  7. Novel opportunities for computational biology and sociology in drug discovery. Trends Biotechnol. 2010 Apr; 28(4):161-70.
    View in: PubMed
    Score: 0.054
  8. Self-correcting maps of molecular pathways. PLoS One. 2006 Dec 20; 1:e61.
    View in: PubMed
    Score: 0.043
  9. Learning to predict protein-protein interactions from protein sequences. Bioinformatics. 2003 Oct 12; 19(15):1875-81.
    View in: PubMed
    Score: 0.034
  10. Birth and death of protein domains: a simple model of evolution explains power law behavior. BMC Evol Biol. 2002 Oct 14; 2:18.
    View in: PubMed
    Score: 0.032
  11. Interior-branch and bootstrap tests of phylogenetic trees. Mol Biol Evol. 1995 Mar; 12(2):319-33.
    View in: PubMed
    Score: 0.019
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.