A machine learning approach for identifying novel cell type-specific transcriptional regulators of myogenesis

PLoS Genetics

Volumn 8, Issue 3, 2012, Pages

  Busser, Brian W ^a   Taher, Leila ^b   Kim, Yongsok ^a   Tansey, Terese ^a   Bloom, Molly J ^a   Ovcharenko, Ivan ^b   Michelson, Alan M ^a  

^a NATIONAL HEART LUNG AND BLOOD INSTITUTE   (United States)

^b NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ETS PROTEIN; FORKHEAD TRANSCRIPTION FACTOR; PROTEIN MYB; T BOX TRANSCRIPTION FACTOR; TRANSCRIPTION FACTOR; UNCLASSIFIED DRUG;

ANIMAL TISSUE; ARTICLE; BINDING SITE; CELL TYPE; CONTROLLED STUDY; DROSOPHILA MELANOGASTER; EMBRYO; ENHANCER REGION; GENE; GENE EXPRESSION; GENE EXPRESSION PROFILING; GENE SEQUENCE; INSECT CELL; MACHINE LEARNING; MESODERM; MOLECULAR EVOLUTION; MUSCLE DEVELOPMENT; MUSCLE FOUNDER CELL; NONHUMAN; ORG 1 GENE; ORTHOLOGY; PHYLOGENY; PROTEIN MOTIF; SEQUENCE ANALYSIS; TRANSCRIPTION REGULATION; ANIMAL; ARTIFICIAL INTELLIGENCE; CELL LINEAGE; CYTOLOGY; GENE EXPRESSION REGULATION; GENETIC TRANSCRIPTION; GENETICS; GROWTH, DEVELOPMENT AND AGING; MUSCLE;

DROSOPHILA MELANOGASTER;

ANIMALS; ARTIFICIAL INTELLIGENCE; BINDING SITES; CELL LINEAGE; DROSOPHILA MELANOGASTER; ENHANCER ELEMENTS, GENETIC; EVOLUTION, MOLECULAR; GENE EXPRESSION REGULATION, DEVELOPMENTAL; MESODERM; MUSCLES; PHYLOGENY; TRANSCRIPTION FACTORS; TRANSCRIPTION, GENETIC;

EID: 84859235405     PISSN: 15537390     EISSN: 15537404     Source Type: Journal    
DOI: 10.1371/journal.pgen.1002531     Document Type: Article

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