Semi-supervised methods to predict patient survival from gene expression data

PLoS Biology

Volumn 2, Issue 4, 2004, Pages

  Bair, Eric ^a   Tibshirani, Robert ^a  

^a STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTIC METHOD; ARTICLE; CANCER; CANCER DIAGNOSIS; CANCER SURVIVAL; DATA ANALYSIS; DIAGNOSTIC ACCURACY; DIAGNOSTIC PROCEDURE; GENE EXPRESSION PROFILING; PATIENT; PREDICTION; SURVIVAL; SURVIVAL TIME; BREAST TUMOR; CLUSTER ANALYSIS; COMPUTER PROGRAM; COMPUTER SIMULATION; DNA MICROARRAY; FACTUAL DATABASE; HUMAN; METABOLISM; METHODOLOGY; MORTALITY; NEOPLASM; PRINCIPAL COMPONENT ANALYSIS; PROGNOSIS; STATISTICAL ANALYSIS; STATISTICAL MODEL; TIME; TREATMENT OUTCOME;

BREAST NEOPLASMS; CLUSTER ANALYSIS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; DATABASES, FACTUAL; GENE EXPRESSION PROFILING; HUMANS; MODELS, STATISTICAL; NEOPLASMS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; PROGNOSIS; SOFTWARE; TIME FACTORS; TREATMENT OUTCOME;

EID: 19344375744     PISSN: 15449173     EISSN: None     Source Type: Journal    
DOI: 10.1371/journal.pbio.0020108     Document Type: Article

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