Can survival prediction be improved by merging gene expression data sets?

PLoS ONE

Volumn 4, Issue 10, 2009, Pages

  Yasrebi, Haleh ^a,b   Sperisen, Peter ^b   Praz, Viviane ^b   Bucher, Philipp ^a,b  

^a EPFL   (Switzerland)

^b SWISS INSTITUTE OF BIOINFORMATICS   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

CYTOCHROME B5; CYTOCHROME B5 DOMAIN CONTAINING 1 PROTEIN; TAMOXIFEN; UNCLASSIFIED DRUG;

AREA UNDER THE CURVE; ARTICLE; BREAST CANCER; CANCER MORTALITY; CANCER RELAPSE; CANCER SURVIVAL; COHORT ANALYSIS; COMPUTER PREDICTION; CONTROLLED STUDY; GENE EXPRESSION PROFILING; GENE FUNCTION; GENE NUMBER; GENETIC DATABASE; HAZARD RATIO; HUMAN; MICROARRAY ANALYSIS; PROGNOSIS; PROPORTIONAL HAZARDS MODEL; RECEIVER OPERATING CHARACTERISTIC; SURVIVAL TIME; BIOLOGY; BREAST TUMOR; DNA MICROARRAY; FACTUAL DATABASE; GENE EXPRESSION REGULATION; GENETICS; METHODOLOGY; MORTALITY; PRINCIPAL COMPONENT ANALYSIS; RISK; SURVIVAL;

AREA UNDER CURVE; BREAST NEOPLASMS; COMPUTATIONAL BIOLOGY; DATABASES, FACTUAL; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; HUMANS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; PROGNOSIS; PROPORTIONAL HAZARDS MODELS; RISK; ROC CURVE; SURVIVAL ANALYSIS;

EID: 70449588688     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0007431     Document Type: Article

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