Estimating the False Discovery Rate Using Mixed Normal Distribution for Identifying Differentially Expressed Genes in Microarray Data Analysis

Estimating the False Discovery Rate Using Mixed Normal Distribution for Identifying Differentially Expressed Genes in Microarray Data Analysis

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The recent development of DNA microarray technology allows us to measure simultaneously the expression levels of thousands of genes and to identify truly correlated genes with anticancer drug response (differentially expressed genes) from many candidate genes. Significance Analysis of Microarray (SA...

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Bibliographic Details
Main Authors: Chikuma Hamada, Takashi Sozu, Yasunori Sato, Akihiro Hirakawa, Isao Yoshimura
Format: Article
Language:English
Published: SAGE Publishing 2007-01-01
Series:Cancer Informatics
Subjects:
differentially expressed genes
false discovery rate
microarray
mixed normal distribution
significance analysis of microarray
Online Access:http://la-press.com/article.php?article_id=495

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http://la-press.com/article.php?article_id=495

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