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» Methods for evaluating gene expression from Affymetrix micro...
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BMCBI
2007
149views more  BMCBI 2007»
13 years 7 months ago
A unified framework for finding differentially expressed genes from microarray experiments
Background: This paper presents a unified framework for finding differentially expressed genes (DEGs) from the microarray data. The proposed framework has three interrelated modul...
Jahangheer S. Shaik, Mohammed Yeasin
BMCBI
2007
117views more  BMCBI 2007»
13 years 7 months ago
Application of a correlation correction factor in a microarray cross-platform reproducibility study
Background: Recent research examining cross-platform correlation of gene expression intensities has yielded mixed results. In this study, we demonstrate use of a correction factor...
Kellie J. Archer, Catherine I. Dumur, G. Scott Tay...
BMCBI
2010
153views more  BMCBI 2010»
13 years 7 months ago
Starr: Simple Tiling ARRay analysis of Affymetrix ChIP-chip data
Background: Chromatin immunoprecipitation combined with DNA microarrays (ChIP-chip) is an assay used for investigating DNA-protein-binding or post-translational chromatin/histone ...
Benedikt Zacher, Pei Fen Kuan, Achim Tresch
WILF
2005
Springer
194views Fuzzy Logic» more  WILF 2005»
14 years 29 days ago
Learning Bayesian Classifiers from Gene-Expression MicroArray Data
Computing methods that allow the efficient and accurate processing of experimentally gathered data play a crucial role in biological research. The aim of this paper is to present a...
Andrea Bosin, Nicoletta Dessì, Diego Libera...
BMCBI
2008
94views more  BMCBI 2008»
13 years 7 months ago
A comprehensive re-analysis of the Golden Spike data: Towards a benchmark for differential expression methods
Background: The Golden Spike data set has been used to validate a number of methods for summarizing Affymetrix data sets, sometimes with seemingly contradictory results. Much less...
Richard D. Pearson