An Evolutionary Approach for Identifying Driver Mutations in Colorectal Cancer

PLoS Computational Biology

Volumn 11, Issue 9, 2015, Pages

  Foo, Jasmine ^a   Liu, Lin L ^b   Leder, Kevin ^a   Riester, Markus ^b   Iwasa, Yoh ^c   Lengauer, Christoph ^d   Michor, Franziska ^b  

^a UNIVERSITY OF MINNESOTA   (United States)

^b HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^c KYUSHU UNIVERSITY   (Japan)

^d Blueprint Medicines   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DISEASES; GENES;

CANDIDATE GENES; DATA SET; DRUG-TARGETING; EVOLUTIONARY APPROACH; GENETIC DISEASE; GENOMICS; HUMAN CANCER; SAMPLE SETS; STATISTICAL INDICES; WHOLE GENOME SEQUENCING;

GENOME;

ARTICLE; CANCER CLASSIFICATION; COLON CARCINOGENESIS; COLORECTAL CANCER; CROSS-SECTIONAL STUDY; DISEASE MODEL; GENE LOCUS; GENE MUTATION; GENE SEQUENCE; HITCHHIKING INDEX; MOLECULAR EVOLUTION; MUTATIONAL ANALYSIS; POPULATION DYNAMICS; PROBABILITY; STATISTICAL MODEL; VALIDATION PROCESS; BIOLOGICAL MODEL; BIOLOGY; COLORECTAL TUMOR; GENETICS; HUMAN; MUTATION; PROCEDURES;

COLORECTAL NEOPLASMS; COMPUTATIONAL BIOLOGY; CROSS-SECTIONAL STUDIES; EVOLUTION, MOLECULAR; HUMANS; MODELS, GENETIC; MODELS, STATISTICAL; MUTATION; POPULATION DYNAMICS;

EID: 84943517978     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1004350     Document Type: Article

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