A multiscale statistical mechanical framework integrates biophysical and genomic data to assemble cancer networks

Nature Genetics

Volumn 46, Issue 12, 2014, Pages 1363-1371

  Alquraishi, Mohammed ^a   Koytiger, Grigoriy ^a   Jenney, Anne ^a   Macbeath, Gavin ^a   Sorger, Peter K ^a  

^a HARVARD MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PHOSPHOTYROSINE; PROTEIN SH2; SOMATOMEDIN C RECEPTOR;

AMINO ACID SEQUENCE; ARTICLE; CANCER CELL; CARBOXY TERMINAL SEQUENCE; GAIN OF FUNCTION MUTATION; GENE MUTATION; GENETIC VARIABILITY; HUMAN; MALIGNANT NEOPLASTIC DISEASE; MOLECULAR MODEL; MULTISCALE STATISTICAL MECHANICAL FRAMEWORK; PRIORITY JOURNAL; PROTEIN DOMAIN; PROTEIN PROTEIN INTERACTION; THERMODYNAMICS; TUMOR GENE; ALGORITHM; AREA UNDER THE CURVE; BIOLOGICAL MODEL; GENETICS; GENOMICS; HEK293 CELL LINE; HUMAN GENOME; LABORATORY DIAGNOSIS; MUTATION; NEOPLASM; RECEIVER OPERATING CHARACTERISTIC; SITE DIRECTED MUTAGENESIS; SRC HOMOLOGY DOMAIN; STATISTICAL MODEL;

ALGORITHMS; AREA UNDER CURVE; FALSE POSITIVE REACTIONS; GENETIC VARIATION; GENOME, HUMAN; GENOMICS; HEK293 CELLS; HUMANS; MODELS, GENETIC; MODELS, STATISTICAL; MUTAGENESIS, SITE-DIRECTED; MUTATION; NEOPLASMS; RECEPTOR, IGF TYPE 1; ROC CURVE; SRC HOMOLOGY DOMAINS;

EID: 84922589272     PISSN: 10614036     EISSN: 15461718     Source Type: Journal    
DOI: 10.1038/ng.3138     Document Type: Article

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