Improving Breast Cancer Survival Analysis through Competition-Based Multidimensional Modeling

PLoS Computational Biology

Volumn 9, Issue 5, 2013, Pages

  Bilal, Erhan ^a   Dutkowski, Janusz ^b   Guinney, Justin ^c   Jang, In Sock ^c   Logsdon, Benjamin A ^c,d   Pandey, Gaurav ^e   Sauerwine, Benjamin A ^c   Shimoni, Yishai ^f   Moen Vollan, Hans Kristian ^g,h,i,j   Mecham, Brigham H ^c   Rueda, Oscar M ^i,j   Tost, Jorg ^k   Curtis, Christina ^l   Alvarez, Mariano J ^f   Kristensen, Vessela N ^g,h,m   Aparicio, Samuel ^n,o   Børresen Dale, Anne Lise ^g,h   Caldas, Carlos ^i,j,p,q   Califano, Andrea ^f   Friend, Stephen H ^c   Ideker, Trey ^b   Schadt, Eric E ^e   Stolovitzky, Gustavo A ^a   Margolin, Adam A ^c   more..

^a IBM T J WATSON RESEARCH CENTER   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c SAGE BIONETWORKS   (United States)

^d Fred Hutchinson Cancer Research Center   (United States)

^e MOUNT SINAI SCHOOL OF MEDICINE   (United States)

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

^g OSLO UNIVERSITY HOSPITAL   (Norway)

^h UNIVERSITY OF OSLO   (Norway)

ⁱ IMPERIAL CANCER RESEARCH FUND   (United Kingdom)

^j UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^k DIF   (France)

^l UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^m AKERSHUS UNIVERSITY HOSPITAL   (Norway)

ⁿ UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^o BRITISH COLUMBIA CANCER RESEARCH CENTRE   (Canada)

^p Cambridge Experimental Cancer Medicine Centre   (United Kingdom)

^q ADDENBROOKE S HOSPITAL   (United Kingdom)

more..

Author keywords

[No Author keywords available]

Indexed keywords

CLINICAL RESEARCH; DIAGNOSIS; LEARNING SYSTEMS;

BREAST CANCER; BREAST CANCER PROGNOSIS; CANCER SUBTYPES; HETEROGENEOUS DISEASE; LARGE DATASETS; MATCHINGS; MOLECULAR FEATURE; MULTI-DIMENSIONAL MODEL; PHENOTYPIC FEATURES; SURVIVAL ANALYSIS;

DISEASES;

ARTICLE; BREAST CANCER; CANCER GENETICS; CANCER PROGNOSIS; CANCER SURVIVAL; COMPETITION BASED MULTIDIMENSIONAL MODELING; COMPUTER PROGRAM; GENE DOSAGE; GENE EXPRESSION PROFILING; HUMAN; MACHINE LEARNING; MAJOR CLINICAL STUDY; ONLINE ANALYTICAL PROCESSING; PHENOTYPE; PILOT STUDY; PREDICTION; PROCESS OPTIMIZATION;

EID: 84877734926     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1003047     Document Type: Article

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