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ALMOB
2007
73views more  ALMOB 2007»
13 years 5 months ago
GOGOT: a method for the identification of differentially expressed fragments from cDNA-AFLP data
Background: One-dimensional (1-D) electrophoretic data obtained using the cDNA-AFLP method have attracted great interest for the identification of differentially expressed transcr...
Koji Kadota, Ryoko Araki, Yuji Nakai, Masumi Abe
BMCBI
2004
158views more  BMCBI 2004»
13 years 4 months ago
A novel Mixture Model Method for identification of differentially expressed genes from DNA microarray data
Background: The main goal in analyzing microarray data is to determine the genes that are differentially expressed across two types of tissue samples or samples obtained under two...
Kayvan Najarian, Maryam Zaheri, Ali Ajdari Rad, Si...
ALMOB
2008
93views more  ALMOB 2008»
13 years 5 months ago
A weighted average difference method for detecting differentially expressed genes from microarray data
Background: Identification of differentially expressed genes (DEGs) under different experimental conditions is an important task in many microarray studies. However, choosing whic...
Koji Kadota, Yuji Nakai, Kentaro Shimizu
BMCBI
2011
12 years 8 months ago
Evaluating methods for ranking differentially expressed genes applied to MicroArray Quality Control data
Background: Statistical methods for ranking differentially expressed genes (DEGs) from gene expression data should be evaluated with regard to high sensitivity, specificity, and r...
Koji Kadota, Kentaro Shimizu
BMCBI
2006
200views more  BMCBI 2006»
13 years 5 months ago
Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data
Background: Numerous feature selection methods have been applied to the identification of differentially expressed genes in microarray data. These include simple fold change, clas...
Ian B. Jeffery, Desmond G. Higgins, Aedín C...