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» Analysis of Variance for Gene Expression Microarray Data
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BMCBI
2007
127views more  BMCBI 2007»
14 years 10 months ago
A Latent Variable Approach for Meta-Analysis of Gene Expression Data from Multiple Microarray Experiments
Background: With the explosion in data generated using microarray technology by different investigators working on similar experiments, it is of interest to combine results across...
Hyungwon Choi, Ronglai Shen, Arul M. Chinnaiyan, D...
FUIN
2002
123views more  FUIN 2002»
14 years 9 months ago
Learning Rough Set Classifiers from Gene Expressions and Clinical Data
Biological research is currently undergoing a revolution. With the advent of microarray technology the behavior of thousands of genes can be measured simultaneously. This capabilit...
Herman Midelfart, Henryk Jan Komorowski, Kristin N...
NAR
2007
97views more  NAR 2007»
14 years 9 months ago
Gene Aging Nexus: a web database and data mining platform for microarray data on aging
The recent development of microarray technology provided unprecedented opportunities to understand the genetic basis of aging. So far, many microarray studies have addressed aging...
Fei Pan, Chi-Hsien Chiu, Sudip Pulapura, Michael R...
BIOINFORMATICS
2005
72views more  BIOINFORMATICS 2005»
14 years 9 months ago
Use of within-array replicate spots for assessing differential expression in microarray experiments
Motivation. Spotted arrays are often printed with probes in duplicate or triplicate, but current methods for assessing differential expression are not able to make full use of the...
Gordon K. Smyth, Joëlle Michaud, Hamish S. Sc...
BMCBI
2004
158views more  BMCBI 2004»
14 years 9 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...