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» Robust test method for time-course microarray experiments
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BMCBI
2008
173views more  BMCBI 2008»
13 years 7 months ago
Gene Vector Analysis (Geneva): A unified method to detect differentially-regulated gene sets and similar microarray experiments
Background: Microarray experiments measure changes in the expression of thousands of genes. The resulting lists of genes with changes in expression are then searched for biologica...
Stephen W. Tanner, Pankaj Agarwal
BIOCOMP
2008
13 years 9 months ago
Analysis of Microarray Titration Experiments
In this paper we introduce a novel approach for the analysis of microarray titration experiments. The test introduced here can be used more generally for drug-dosage effect or time...
Ionut Bebu, Françoise Seillier-Moiseiwitsch...
BMCBI
2004
205views more  BMCBI 2004»
13 years 7 months ago
A combinational feature selection and ensemble neural network method for classification of gene expression data
Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
BMCBI
2010
87views more  BMCBI 2010»
13 years 7 months ago
poolMC: Smart pooling of mRNA samples in microarray experiments
Background: Typically, pooling of mRNA samples in microarray experiments implies mixing mRNA from several biological-replicate samples before hybridization onto a microarray chip....
Raghunandan M. Kainkaryam, Angela Bruex, Anna C. G...
BMCBI
2006
154views more  BMCBI 2006»
13 years 7 months ago
An improved procedure for gene selection from microarray experiments using false discovery rate criterion
Background: A large number of genes usually show differential expressions in a microarray experiment with two types of tissues, and the p-values of a proper statistical test are o...
James J. Yang, Mark C. K. Yang