Combining multidimensional genomic measurements for predicting cancer prognosis: Observations from TCGA

Briefings in Bioinformatics

Volumn 16, Issue 2, 2015, Pages 291-303

  Zhao, Qing ^a   Shi, Xingjie ^a,b   Xie, Yang ^c   Huang, Jian ^d   BenShia, Chang ^e   Ma, Shuangge ^a  

^a YALE UNIVERSITY   (United States)

^b SHANGHAI UNIVERSITY OF FINANCE AND ECONOMICS   (China)

^c Yale University ^*  (United States)

^d UNIVERSITY OF IOWA   (United States)

^e FU JEN CATHOLIC UNIVERSITY   (Taiwan)

Author keywords

Cancer prognosis; Multidimensional genomic study; Prediction; The cancer genome atlas (TCGA)

Indexed keywords

ACUTE MYELOID LEUKEMIA; BIOLOGY; BRAIN TUMOR; BREAST TUMOR; FEMALE; GENETIC DATABASE; GENETICS; GENOMICS; GLIOBLASTOMA; HUMAN; LEAST SQUARE ANALYSIS; LUNG TUMOR; MALE; MORTALITY; NEOPLASM; PRINCIPAL COMPONENT ANALYSIS; PROGNOSIS; PROPORTIONAL HAZARDS MODEL; SQUAMOUS CELL CARCINOMA; STATISTICS AND NUMERICAL DATA;

BRAIN NEOPLASMS; BREAST NEOPLASMS; CARCINOMA, SQUAMOUS CELL; COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; FEMALE; GENOMICS; GLIOBLASTOMA; HUMANS; LEAST-SQUARES ANALYSIS; LEUKEMIA, MYELOID, ACUTE; LUNG NEOPLASMS; MALE; NEOPLASMS; PRINCIPAL COMPONENT ANALYSIS; PROGNOSIS; PROPORTIONAL HAZARDS MODELS;

EID: 84925442200     PISSN: 14675463     EISSN: 14774054     Source Type: Journal    
DOI: 10.1093/bib/bbu003     Document Type: Article

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