An information theoretic method to identify combinations of genomic alterations that promote glioblastoma

Journal of Molecular Cell Biology

Volumn 7, Issue 3, 2015, Pages 203-213

  Melamed, Rachel D ^a   Wang, Jiguang ^a   Iavarone, Antonio ^a   Rabadan, Raul ^a  

^a Department of Neurology and the Taub Institute for Research on Alzheimer's Disease and the Aging Brain   (United States)

Author keywords

cancer; cancer genetics; copy number; entropy; genomics; sequencing

Indexed keywords

ARTICLE; CANCER GENETICS; CANCER GROWTH; CARCINOGENESIS; COMPUTER PROGRAM; CONTROLLED STUDY; COPY NUMBER VARIATION; GENETIC ALGORITHM; GENETIC ASSOCIATION; GLIOBLASTOMA; HUMAN; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; POINT MUTATION; TUMOR GENE; TUMOR PROMOTION; ALGORITHM; BIOLOGICAL MODEL; GENE REGULATORY NETWORK; GENETIC ASSOCIATION STUDY; GENETIC PREDISPOSITION; GENETICS; GENOMICS; HUMAN GENOME; MUTATION; SOFTWARE;

ALGORITHMS; DNA COPY NUMBER VARIATIONS; GENE REGULATORY NETWORKS; GENETIC ASSOCIATION STUDIES; GENETIC PREDISPOSITION TO DISEASE; GENOME, HUMAN; GENOMICS; GLIOBLASTOMA; HUMANS; MODELS, GENETIC; MUTATION; SOFTWARE;

EID: 84938823359     PISSN: 16742788     EISSN: 17594685     Source Type: Journal    
DOI: 10.1093/jmcb/mjv026     Document Type: Article

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