Gene and pathway identification with Lp penalized Bayesian logistic regression

BMC Bioinformatics

Volumn 9, Issue , 2008, Pages

  Liu, Zhenqiu ^a   Gartenhaus, Ronald B ^b   Tan, Ming ^a   Jiang, Feng ^b   Jiao, Xiaoli ^a  

^a UNIVERSITY OF MARYLAND GREENEBAUM CANCER CENTER   (United States)

^b UNIVERSITY OF MARYLAND SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL SIGNIFICANCE; COMPUTATIONAL BIOLOGY; DIFFERENTIAL EXPRESSIONS; PARSIMONIOUS MODELING; PATHWAY IDENTIFICATION; PERFORMANCE ESTIMATION; REGULARIZATION PARAMETERS; THREE ORDERS OF MAGNITUDE;

ALGORITHMS; BAYESIAN NETWORKS; BIOINFORMATICS; DISEASES; PARAMETERIZATION; REGRESSION ANALYSIS;

GENE EXPRESSION;

MITOGEN ACTIVATED PROTEIN KINASE; T LYMPHOCYTE RECEPTOR; TUMOR ANTIGEN; TUMOR PROTEIN; PROTEOME;

ANTIGEN PRESENTATION; ARTICLE; BAYES THEOREM; BIOINFORMATICS; BIOLOGY; BREAST CANCER; CANCER GRADING; EXPRESSED SEQUENCE TAG; GENE EXPRESSION; GENE FUNCTION; GENE IDENTIFICATION; GENETIC ALGORITHM; GLIOBLASTOMA; GLIOMA; HUMAN; LIVER CELL CARCINOMA; LOGISTIC REGRESSION ANALYSIS; NUCLEOTIDE SEQUENCE; OLIGODENDROGLIOMA; RIBOSOME; SIGNAL TRANSDUCTION; UNINDEXED SEQUENCE; ALGORITHM; BIOLOGICAL MODEL; COMPUTER SIMULATION; GENE EXPRESSION PROFILING; METABOLISM; METHODOLOGY; PHYSIOLOGY; REGRESSION ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; BAYES THEOREM; COMPUTER SIMULATION; GENE EXPRESSION PROFILING; LOGISTIC MODELS; MODELS, BIOLOGICAL; PROTEOME; REGRESSION ANALYSIS; SIGNAL TRANSDUCTION;

EID: 54049131739     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-9-412     Document Type: Article

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