Functional characterization of somatic mutations in cancer using network-based inference of protein activity

Nature Genetics

Volumn 48, Issue 8, 2016, Pages 838-847

  Alvarez, Mariano J ^a,b   Shen, Yao ^a,b   Giorgi, Federico M ^a   Lachmann, Alexander ^a   Ding, B Belinda ^c   Hilda Ye, B ^c   Califano, Andrea ^a  

^a Och Spine at New York Presbyterian Hospitals   (United States)

^b DarwinHealth Inc   (United States)

^c ALBERT EINSTEIN COLLEGE OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ONCOPROTEIN; PROTEIN INHIBITOR; REGULATOR PROTEIN; ANTINEOPLASTIC AGENT; TUMOR PROTEIN;

ARTICLE; GENETIC ALGORITHM; HUMAN; IN VITRO STUDY; MUTATIONAL ANALYSIS; NEOPLASM; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN FUNCTION; SENSITIVITY ANALYSIS; SOMATIC MUTATION; VIRTUAL INFERENCE OF PROTEIN ACTIVITY BY ENRICHED REGULON ANALYSIS; ALGORITHM; BIOLOGY; DRUG DATABASE; DRUG EFFECTS; GENE EXPRESSION REGULATION; GENE REGULATORY NETWORK; GENETICS; METABOLISM; MUTATION; NEOPLASMS; PROCEDURES; PROTEIN DATABASE; PROTEIN PROTEIN INTERACTION; PROTEIN TERTIARY STRUCTURE;

ALGORITHMS; ANTINEOPLASTIC AGENTS; COMPUTATIONAL BIOLOGY; DATABASES, PHARMACEUTICAL; DATABASES, PROTEIN; GENE EXPRESSION REGULATION, NEOPLASTIC; GENE REGULATORY NETWORKS; HUMANS; MUTATION; NEOPLASM PROTEINS; NEOPLASMS; PROTEIN INTERACTION MAPS; PROTEIN STRUCTURE, TERTIARY;

EID: 84975246805     PISSN: 10614036     EISSN: 15461718     Source Type: Journal    
DOI: 10.1038/ng.3593     Document Type: Article

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