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Connection

Michael J Gonzalez to Computational Biology

This is a "connection" page, showing publications Michael J Gonzalez has written about Computational Biology.
Connection Strength

0.157
  1. Gonzalez MA, Lebrigio RF, Van Booven D, Ulloa RH, Powell E, Speziani F, Tekin M, Sch?le R, Z?chner S. GEnomes Management Application (GEM.app): a new software tool for large-scale collaborative genome analysis. Hum Mutat. 2013 Jun; 34(6):842-6.
    View in: PubMed
    Score: 0.094
  2. Wu C, Devkota B, Evans P, Zhao X, Baker SW, Niazi R, Cao K, Gonzalez MA, Jayaraman P, Conlin LK, Krock BL, Deardorff MA, Spinner NB, Krantz ID, Santani AB, Tayoun ANA, Sarmady M. Rapid and accurate interpretation of clinical exomes using Phenoxome: a computational phenotype-driven approach. Eur J Hum Genet. 2019 04; 27(4):612-620.
    View in: PubMed
    Score: 0.035
  3. Balicza P, Grosz Z, Gonzalez MA, Bencsik R, Pentelenyi K, Gal A, Varga E, Klivenyi P, Koller J, Z?chner S, Molnar JM. Genetic background of the hereditary spastic paraplegia phenotypes in Hungary - An analysis of 58 probands. J Neurol Sci. 2016 May 15; 364:116-21.
    View in: PubMed
    Score: 0.029
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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