Identifying optimal biomarker combinations for treatment selection via a robust kernel method

Biometrics

Volumn 70, Issue 4, 2014, Pages 891-901

  Huang, Ying ^a,b   Fong, Youyi ^a,b  

^a Fred Hutchinson Cancer Research Center   (United States)

^b UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Biomarker combination; Kernel method; Randomized trial; Robust; Support vector machine; Treatment selection

Indexed keywords

BIOMARKERS; COST EFFECTIVENESS; DISEASES; POPULATION STATISTICS; REGRESSION ANALYSIS; VACCINES;

% REDUCTIONS; BIOMARKER COMBINATIONS; DISEASE BURDENS; KERNEL-METHODS; RANDOMIZED TRIAL; ROBUST; SELECTION MARKER; SELECTION RULES; SUPPORT VECTORS MACHINE; TREATMENT SELECTION;

SUPPORT VECTOR MACHINES;

BIOLOGICAL MARKER; FC RECEPTOR;

ALGORITHM; BLOOD; GENETIC PREDISPOSITION; GENETIC SCREENING; GENETICS; HIV INFECTIONS; HUMAN; OUTCOME ASSESSMENT; PATIENT SELECTION; PREVALENCE; PROCEDURES; PROGNOSIS; REPRODUCIBILITY; RISK FACTOR; SENSITIVITY AND SPECIFICITY; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL ANALYSIS; THAILAND; TREATMENT OUTCOME;

ALGORITHMS; BIOMARKERS; DATA INTERPRETATION, STATISTICAL; GENETIC PREDISPOSITION TO DISEASE; GENETIC TESTING; HIV INFECTIONS; HUMANS; OUTCOME ASSESSMENT (HEALTH CARE); PATIENT SELECTION; POLYMORPHISM, SINGLE NUCLEOTIDE; PREVALENCE; PROGNOSIS; RECEPTORS, FC; REPRODUCIBILITY OF RESULTS; RISK FACTORS; SENSITIVITY AND SPECIFICITY; THAILAND; TREATMENT OUTCOME;

EID: 84919846103     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/biom.12204     Document Type: Article

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