A strategy to build and validate a prognostic biomarker model based on RT-qPCR gene expression and clinical covariates

BMC Bioinformatics

Volumn 16, Issue 1, 2015, Pages

  Tournoud, Maud ^a   Larue, Audrey ^a   Cazalis, Marie Angelique ^b   Venet, Fabienne ^c   Pachot, Alexandre ^b   Monneret, Guillaume ^c   Lepape, Alain ^c   Veyrieras, Jean Baptiste ^a  

^a Research Department   (France)

^b Sanofi Pasteur   (France)

^c HOSPICES CIVILS DE LYON   (France)

Author keywords

Cross validation; Model optimism; Performance estimation; Prognostic survival model; RT qPCR gene expression measurement

Indexed keywords

BIOMARKERS; DESIGN; GENES; POLYMERASE CHAIN REACTION; POPULATION STATISTICS; STABILITY CRITERIA; STATISTICAL TESTS;

BIOLOGICAL VARIABILITY; CROSS VALIDATION; DEMOGRAPHIC VARIABLES; EXPRESSION MEASUREMENTS; FUNCTIONAL RELATIONSHIP; PERFORMANCE ESTIMATION; PERFORMANCE INDICATORS; SURVIVAL MODEL;

GENE EXPRESSION;

BIOLOGICAL MARKER;

GENE EXPRESSION; HUMAN; MORTALITY; PROGNOSIS; PROPORTIONAL HAZARDS MODEL; REAL TIME POLYMERASE CHAIN REACTION; REVERSE TRANSCRIPTION POLYMERASE CHAIN REACTION; SEPTIC SHOCK; VALIDATION STUDY;

BIOMARKERS; GENE EXPRESSION; HUMANS; PROGNOSIS; PROPORTIONAL HAZARDS MODELS; REAL-TIME POLYMERASE CHAIN REACTION; REVERSE TRANSCRIPTASE POLYMERASE CHAIN REACTION; SHOCK, SEPTIC;

EID: 84926314737     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/s12859-015-0537-9     Document Type: Article

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