Estimating the false discovery rate using mixed normal distribution for identifying differentially expressed genes in microarray data analysis

Cancer Informatics

Volumn 3, Issue , 2007, Pages 140-148

  Hirakawa, Akihiro ^a   Sato, Yasunori ^a   Sozu, Takashi ^b   Hamada, Chikuma ^c   Yoshimura, Isao ^c  

^a NATIONAL CANCER CENTER RESEARCH INSTITUTE   (Japan)

^b OSAKA UNIVERSITY   (Japan)

^c TOKYO UNIVERSITY OF SCIENCE   (Japan)

Author keywords

Differentially expressed genes; False discovery rate; Microarray; Mixed normal distribution; Significance analysis of microarray

Indexed keywords

DOCETAXEL;

ARTICLE; BREAST CANCER; CALCULATION; CANCER GENETICS; DATA ANALYSIS; DNA MICROARRAY; DRUG RESPONSE; GENE EXPRESSION; HUMAN; MATHEMATICAL ANALYSIS; MICROARRAY ANALYSIS; NORMAL DISTRIBUTION; SIMULATION;

EID: 49649093310     PISSN: 11769351     EISSN: 11769351     Source Type: Journal    
DOI: 10.1177/117693510700300009     Document Type: Article

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