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» Analysis of Variance for Gene Expression Microarray Data
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BMCBI
2008
124views more  BMCBI 2008»
15 years 1 months ago
Literature-aided meta-analysis of microarray data: a compendium study on muscle development and disease
Background: Comparative analysis of expression microarray studies is difficult due to the large influence of technical factors on experimental outcome. Still, the identified diffe...
Rob Jelier, Peter A. C. 't Hoen, Ellen Sterrenburg...
BMCBI
2007
151views more  BMCBI 2007»
15 years 1 months ago
A statistical method to incorporate biological knowledge for generating testable novel gene regulatory interactions from microar
Background: The incorporation of prior biological knowledge in the analysis of microarray data has become important in the reconstruction of transcription regulatory networks in a...
Peter Larsen, Eyad Almasri, Guanrao Chen, Yang Dai
BIBM
2008
IEEE
108views Bioinformatics» more  BIBM 2008»
15 years 8 months ago
Systematic Evaluation of Scaling Methods for Gene Expression Data
Even after an experimentally prepared gene expression data set has been pre-processed to account for variations in the microarray technology, there may be inconsistencies between ...
Gaurav Pandey, Lakshmi Naarayanan Ramakrishnan, Mi...
BMCBI
2005
126views more  BMCBI 2005»
15 years 1 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
128views more  BMCBI 2006»
15 years 1 months ago
An interactive tool for visualization of relationships between gene expression profiles
Background: Application of phenetic methods to gene expression analysis proved to be a successful approach. Visualizing the results in a 3-dimentional space may further enhance th...
Peter Ruzanov, Steven J. M. Jones