The University of Chicago Header Logo

Connection

Andrey Rzhetsky to Models, Statistical

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

0.982
  1. Quantifying the impact and extent of undocumented biomedical synonymy. PLoS Comput Biol. 2014 Sep; 10(9):e1003799.
    View in: PubMed
    Score: 0.372
  2. A recipe for high impact. Genome Biol. 2007; 8(5):406.
    View in: PubMed
    Score: 0.218
  3. Observable variations in human sex ratio at birth. PLoS Comput Biol. 2021 12; 17(12):e1009586.
    View in: PubMed
    Score: 0.153
  4. Tests of applicability of several substitution models for DNA sequence data. Mol Biol Evol. 1995 Jan; 12(1):131-51.
    View in: PubMed
    Score: 0.095
  5. Probabilistic inference of molecular networks from noisy data sources. Bioinformatics. 2004 May 22; 20(8):1205-13.
    View in: PubMed
    Score: 0.045
  6. Of truth and pathways: chasing bits of information through myriads of articles. Bioinformatics. 2002; 18 Suppl 1:S249-57.
    View in: PubMed
    Score: 0.038
  7. Probabilistic prediction of unknown metabolic and signal-transduction networks. Genetics. 2001 Nov; 159(3):1291-8.
    View in: PubMed
    Score: 0.038
  8. Four-cluster analysis: a simple method to test phylogenetic hypotheses. Mol Biol Evol. 1995 Jan; 12(1):163-7.
    View in: PubMed
    Score: 0.024
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.