T-RECS: Stable selection of dynamically formed groups of features with application to prediction of clinical outcomes

Pacific Symposium on Biocomputing

Volumn , Issue , 2015, Pages 431-442

  Huang, Grace T ^a   Tsamardinos, Ioannis ^b   Raghu, Vineet ^c   Kaminski, Naftali ^d   Benos, Panayiotis V ^a  

^a UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF CRETE   (Greece)

^c Learning Research and Development Ctr   (United States)

^d YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMARKER IDENTIFICATION; BIOMEDICAL RESEARCH; CLASSIFICATION ACCURACY; CLINICAL OUTCOME; CLUSTER SELECTION; FEATURE SELECTION METHODS; IMPORTANT FEATURES; PERSONALIZED MEDICINES;

FEATURE EXTRACTION;

ALGORITHM; BIOLOGY; BREAST TUMOR; CLUSTER ANALYSIS; COMPUTER SIMULATION; FEMALE; GENE EXPRESSION; GENETIC DATABASE; GENETICS; HUMAN; LUNG DISEASE; PERSONALIZED MEDICINE; PROGNOSIS; STATISTICS AND NUMERICAL DATA; SURVIVAL ANALYSIS; TREATMENT OUTCOME; TUMOR CELL LINE;

ALGORITHMS; BREAST NEOPLASMS; CELL LINE, TUMOR; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; DATABASES, GENETIC; FEMALE; GENE EXPRESSION; HUMANS; LUNG DISEASES; PRECISION MEDICINE; PROGNOSIS; SURVIVAL ANALYSIS; TREATMENT OUTCOME;

EID: 84971298811     PISSN: 23356928     EISSN: 23356936     Source Type: Journal    
DOI: None     Document Type: Conference Paper

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