Identifying marker genes in transcription profiling data using a mixture of feature relevance experts

Physiological Genomics

Volumn 2001, Issue 5, 2001, Pages 99-111

  Chow, M L ^a,c   Moler, E J ^a,b   Mian, I S ^a  

^a LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

^b Gene Logic Inc   (United States)

^c NOVARTIS PHARMA AG   (Switzerland)

Author keywords

Adipsin; Azurocidin; Cystatin C; Marker genes; Mixture of experts; Support vector machines

Indexed keywords

RNA; TUMOR MARKER;

ACUTE DISEASE; ACUTE LYMPHOCYTIC LEUKEMIA; ADENOCARCINOMA; ALGORITHM; ANTIBODY SPECIFICITY; ARTICLE; B LYMPHOCYTE; BAYES THEOREM; BIOLOGY; BONE MARROW CELL; CHILD; CHROMOSOME ABERRATION; FEMALE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETIC MARKER; GENETIC TRANSCRIPTION; GENETICS; HUMAN; MALE; METABOLISM; METHODOLOGY; MYELOID LEUKEMIA; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SEXUAL DEVELOPMENT; STATISTICAL ANALYSIS; T LYMPHOCYTE;

ACUTE DISEASE; ADENOCARCINOMA; ALGORITHMS; B-LYMPHOCYTES; BAYES THEOREM; BONE MARROW CELLS; CHILD; CHROMOSOME ABERRATIONS; COMPUTATIONAL BIOLOGY; DATA INTERPRETATION, STATISTICAL; FEMALE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; GENETIC MARKERS; HUMANS; LEUKEMIA, LYMPHOCYTIC, ACUTE; LEUKEMIA, MYELOID; MALE; ORGAN SPECIFICITY; REPRODUCIBILITY OF RESULTS; RNA, NEOPLASM; SENSITIVITY AND SPECIFICITY; SEX CHARACTERISTICS; T-LYMPHOCYTES; TRANSCRIPTION, GENETIC; TUMOR MARKERS, BIOLOGICAL;

EID: 0035826360     PISSN: 15312267     EISSN: None     Source Type: Journal    
DOI: 10.1152/physiolgenomics.2001.5.2.99     Document Type: Article

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