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Connection

Andrey Rzhetsky to Signal Transduction

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

0.729
  1. Emergent behavior of growing knowledge about molecular interactions. Nat Biotechnol. 2005 Oct; 23(10):1243-7.
    View in: PubMed
    Score: 0.121
  2. Probabilistic inference of molecular networks from noisy data sources. Bioinformatics. 2004 May 22; 20(8):1205-13.
    View in: PubMed
    Score: 0.108
  3. Of truth and pathways: chasing bits of information through myriads of articles. Bioinformatics. 2002; 18 Suppl 1:S249-57.
    View in: PubMed
    Score: 0.093
  4. Targeting glioblastoma signaling and metabolism with a re-purposed brain-penetrant drug. Cell Rep. 2021 11 02; 37(5):109957.
    View in: PubMed
    Score: 0.092
  5. Probabilistic prediction of unknown metabolic and signal-transduction networks. Genetics. 2001 Nov; 159(3):1291-8.
    View in: PubMed
    Score: 0.092
  6. A graphic editor for analyzing signal-transduction pathways. Gene. 2000 Dec 23; 259(1-2):235-44.
    View in: PubMed
    Score: 0.087
  7. The BioPAX community standard for pathway data sharing. Nat Biotechnol. 2010 Sep; 28(9):935-42.
    View in: PubMed
    Score: 0.043
  8. Analysis of Drosophila segmentation network identifies a JNK pathway factor overexpressed in kidney cancer. Science. 2009 Feb 27; 323(5918):1218-22.
    View in: PubMed
    Score: 0.038
  9. GeneWays: a system for extracting, analyzing, visualizing, and integrating molecular pathway data. J Biomed Inform. 2004 Feb; 37(1):43-53.
    View in: PubMed
    Score: 0.027
  10. A knowledge model for analysis and simulation of regulatory networks. Bioinformatics. 2000 Dec; 16(12):1120-8.
    View in: PubMed
    Score: 0.022
  11. Immunity-related genes and gene families in Anopheles gambiae. Science. 2002 Oct 04; 298(5591):159-65.
    View in: PubMed
    Score: 0.006
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.