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BMCBI
2010
96views more  BMCBI 2010»
13 years 8 months ago
A statistical framework for differential network analysis from microarray data
Background: It has been long well known that genes do not act alone; rather groups of genes act in consort during a biological process. Consequently, the expression levels of gene...
Ryan Gill, Somnath Datta, Susmita Datta
BMCBI
2005
126views more  BMCBI 2005»
13 years 7 months ago
Integrative analysis of multiple gene expression profiles with quality-adjusted effect size models
Background: With the explosion of microarray studies, an enormous amount of data is being produced. Systematic integration of gene expression data from different sources increases...
Pingzhao Hu, Celia M. T. Greenwood, Joseph Beyene
BMCBI
2006
125views more  BMCBI 2006»
13 years 8 months ago
Evaluating different methods of microarray data normalization
Background: With the development of DNA hybridization microarray technologies, nowadays it is possible to simultaneously assess the expression levels of thousands to tens of thous...
André Fujita, João Ricardo Sato, Leo...
BMCBI
2008
160views more  BMCBI 2008»
13 years 8 months ago
A comparison of four clustering methods for brain expression microarray data
Background: DNA microarrays, which determine the expression levels of tens of thousands of genes from a sample, are an important research tool. However, the volume of data they pr...
Alexander L. Richards, Peter Holmans, Michael C. O...
BMCBI
2006
114views more  BMCBI 2006»
13 years 8 months ago
A methodology for global validation of microarray experiments
Background: DNA microarrays are popular tools for measuring gene expression of biological samples. This ever increasing popularity is ensuring that a large number of microarray st...
Mathieu Miron, Owen Z. Woody, Alexandre Marcil, Ca...