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Research Article

A Machine Learning Approach for Identifying Novel Cell Type–Specific Transcriptional Regulators of Myogenesis

  • Brian W. Busser equal contributor,

    equal contributor Contributed equally to this work with: Brian W. Busser, Leila Taher

    Affiliation: Laboratory of Developmental Systems Biology, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, United States of America

    X
  • Leila Taher equal contributor,

    equal contributor Contributed equally to this work with: Brian W. Busser, Leila Taher

    Affiliation: Computational Biology Branch, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, United States of America

    X
  • Yongsok Kim,

    Affiliation: Laboratory of Developmental Systems Biology, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, United States of America

    X
  • Terese Tansey,

    Affiliation: Laboratory of Developmental Systems Biology, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, United States of America

    X
  • Molly J. Bloom,

    Affiliation: Laboratory of Developmental Systems Biology, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, United States of America

    X
  • Ivan Ovcharenko mail,

    ovcharen@nih.gov (IO); michelsonam@nhlbi.nih.gov (AMM)

    Affiliation: Computational Biology Branch, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, United States of America

    X
  • Alan M. Michelson mail

    ovcharen@nih.gov (IO); michelsonam@nhlbi.nih.gov (AMM)

    Affiliation: Laboratory of Developmental Systems Biology, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, United States of America

    X
  • Published: March 08, 2012
  • DOI: 10.1371/journal.pgen.1002531

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