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» Combined Gene Selection Methods for Microarray Data Analysis
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BMCBI
2007
152views more  BMCBI 2007»
15 years 3 months ago
Difference-based clustering of short time-course microarray data with replicates
Background: There are some limitations associated with conventional clustering methods for short time-course gene expression data. The current algorithms require prior domain know...
Jihoon Kim, Ju Han Kim
BMCBI
2008
110views more  BMCBI 2008»
15 years 3 months ago
Testing for treatment effects on gene ontology
In studies that use DNA arrays to assess changes in gene expression, it is preferable to measure the significance of treatment effects on a group of genes from a pathway or functi...
Taewon Lee, Varsha G. Desai, Cruz Velasco, Robert ...
BMCBI
2008
138views more  BMCBI 2008»
15 years 3 months ago
Novel implementation of conditional co-regulation by graph theory to derive co-expressed genes from microarray data
Background: Most existing transcriptional databases like Comprehensive Systems-Biology Database (CSB.DB) and Arabidopsis Microarray Database and Analysis Toolbox (GENEVESTIGATOR) ...
Arun Rawat, Georg J. Seifert, Youping Deng
BMCBI
2006
171views more  BMCBI 2006»
15 years 3 months ago
The effect of oligonucleotide microarray data pre-processing on the analysis of patient-cohort studies
Background: Intensity values measured by Affymetrix microarrays have to be both normalized, to be able to compare different microarrays by removing non-biological variation, and s...
Roel G. W. Verhaak, Frank J. T. Staal, Peter J. M....
BMCBI
2005
135views more  BMCBI 2005»
15 years 3 months ago
A robust two-way semi-linear model for normalization of cDNA microarray data
Background: Normalization is a basic step in microarray data analysis. A proper normalization procedure ensures that the intensity ratios provide meaningful measures of relative e...
Deli Wang, Jian Huang, Hehuang Xie, Liliana Manzel...