A novel application of quantile regression for identification of biomarkers exemplified by equine cartilage microarray data

BMC Bioinformatics

Volumn 9, Issue , 2008, Pages

  Huang, Liping ^a   Zhu, Wenying ^b   Saunders, Christopher P ^c   MacLeod, James N ^b   Zhou, Mai ^a   Stromberg, Arnold J ^a   Bathke, Arne C ^a  

^a UNIVERSITY OF KENTUCKY   (United States)

^b UNIVERSITY OF KENTUCKY   (United States)

^c Krasnow Institute for Advanced Study   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DISEASE CLASSIFICATION; EXPERIMENTAL GROUPS; GENE EXPRESSION LEVELS; MICROARRAY DATA; MULTIPLE SAMPLES; NONPARAMETRIC APPROACHES; NOVEL APPLICATIONS; QUANTILE REGRESSION;

EXPERIMENTS; GENE EXPRESSION; HISTOLOGY; REGRESSION ANALYSIS; TISSUE;

CARTILAGE;

BIOLOGICAL MARKER;

ANALYTICAL ERROR; ANIMAL TISSUE; ARTICLE; CARTILAGE; CONTROLLED STUDY; EXPERIMENTAL DESIGN; FEASIBILITY STUDY; GENE EXPRESSION; GENE TARGETING; GENETIC DATABASE; HORSE; NONHUMAN; NONPARAMETRIC TEST; REGRESSION ANALYSIS; SCORING SYSTEM; TISSUE MICROARRAY; ANIMAL; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENETICS; METABOLISM; METHODOLOGY; PHYSIOLOGY; STATISTICAL MODEL;

EQUIDAE;

ANIMALS; BIOLOGICAL MARKERS; CARTILAGE; DATABASES, GENETIC; GENE EXPRESSION; GENE EXPRESSION PROFILING; HORSES; LINEAR MODELS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; RESEARCH DESIGN; STATISTICS, NONPARAMETRIC;

EID: 47749121024     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-9-300     Document Type: Article

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