Linking gene expression data with patient survival times using partial least squares

Bioinformatics

Volumn 18, Issue SUPPL. 1, 2002, Pages

  Park, Peter J ^a   Tian, Lu ^b   Kohane, Isaac S ^a  

^a HARVARD MEDICAL SCHOOL   (United States)

^b HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Generalized linear models; Microarrays; Poisson regression; Principal components analysis; Survivial analysis

Indexed keywords

ALGORITHM; B CELL LYMPHOMA; CONFERENCE PAPER; GENE EXPRESSION; GENETIC LINKAGE; GENOTYPE; LUNG CARCINOMA; PHENOTYPE; POISSON DISTRIBUTION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; REGRESSION ANALYSIS; SURVIVAL TIME; ARTICLE; BIOLOGICAL MODEL; COMPARATIVE STUDY; DNA MICROARRAY; EVALUATION; GENE EXPRESSION PROFILING; GENETIC PREDISPOSITION; GENETIC SCREENING; GENETICS; HUMAN; LUNG TUMOR; METHODOLOGY; MORTALITY; PROPORTIONAL HAZARDS MODEL; REPRODUCIBILITY; RISK ASSESSMENT; RISK FACTOR; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; SURVIVAL; UNITED STATES; VALIDATION STUDY;

ALGORITHMS; GENE EXPRESSION PROFILING; GENETIC PREDISPOSITION TO DISEASE; GENETIC SCREENING; HUMANS; LEAST-SQUARES ANALYSIS; LUNG NEOPLASMS; MODELS, GENETIC; MODELS, STATISTICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PROPORTIONAL HAZARDS MODELS; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT; RISK FACTORS; SENSITIVITY AND SPECIFICITY; SURVIVAL; SURVIVAL ANALYSIS; UNITED STATES;

EID: 0242634343     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/18.suppl_1.S120     Document Type: Conference Paper

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