A stochastic model for identifying differential gene pair co-expression patterns in prostate cancer progression

BMC Genomics

Volumn 10, Issue , 2009, Pages

  Mo, Wen ^a   Fu, Xu ^a   Han, Xiao Tian ^a   Yang, Guang Yuan ^a   Zhang, Ji Gang ^b   Guo, Feng Hua ^b   Huang, Yan ^a   Mao, Yu Min ^a   Li, Yao ^a   Xie, Yi ^a  

^a FUDAN UNIVERSITY   (China)

^b Shanghai Biostar Gene Company   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ANDROGEN RECEPTOR; ARACHIDONIC ACID; DNA;

ANALYTIC METHOD; ARTICLE; CANCER GROWTH; CANCER REGISTRY; CANCER STAGING; CANCER STATISTICS; CARCINOGENESIS; CONTROLLED STUDY; DATA ANALYSIS; GENE EXPRESSION; GENE IDENTIFICATION; GENETIC ALGORITHM; GENETIC ANALYSIS; HORMONE RESISTANCE; HORMONE SENSITIVITY; INTERMETHOD COMPARISON; MOLECULAR DYNAMICS; PROSTATE CANCER; RELIABILITY; STATISTICAL ANALYSIS; STATISTICAL DISTRIBUTION; STATISTICAL MODEL; STOCHASTIC MODEL; ALGORITHM; BIOLOGICAL MODEL; BIOLOGY; COMPARATIVE STUDY; DNA MICROARRAY; DNA SEQUENCE; GENE EXPRESSION PROFILING; GENETICS; HUMAN; MALE; METHODOLOGY; PROSTATE TUMOR;

ALGORITHMS; COMPUTATIONAL BIOLOGY; DNA, NEOPLASM; GENE EXPRESSION PROFILING; HUMANS; MALE; MODELS, GENETIC; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PROSTATIC NEOPLASMS; SEQUENCE ANALYSIS, DNA;

EID: 69849088754     PISSN: None     EISSN: 14712164     Source Type: Journal    
DOI: 10.1186/1471-2164-10-340     Document Type: Article

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