BMC Bioinformatics

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Open Access

A comprehensive re-analysis of the Golden Spike data: Towards a benchmark for differential expression methods

Richard D Pearson

BMC Bioinformatics 2008, 9:164 doi:10.1186/1471-2105-9-164

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BioMed Central: 6 citations

Research article   Open Access Highly Accessed

Evaluating methods for ranking differentially expressed genes applied to microArray quality control data

Koji Kadota, Kentaro Shimizu BMC Bioinformatics 2011, 12:227 (6 June 2011)

Methodology article   Open Access

A benchmark for statistical microarray data analysis that preserves actual biological and technical variance

BenoƮt De Hertogh, Bertrand De Meulder, Fabrice Berger, Michael Pierre, Eric Bareke, Anthoula Gaigneaux, Eric Depiereux BMC Bioinformatics 2010, 11:17 (11 January 2010)

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puma: a Bioconductor package for propagating uncertainty in microarray analysis

Richard D Pearson, Xuejun Liu, Guido Sanguinetti, Marta Milo, Neil D Lawrence, Magnus Rattray BMC Bioinformatics 2009, 10:211 (9 July 2009)

The puma software suite is a freely available, unified Bioconductor package for propagating uncertainty in microarray analysis, giving improved performance compared to more traditional methods of differential expression detection, principal component analysis and clustering.

Research   Open Access Highly Accessed

Ranking differentially expressed genes from Affymetrix gene expression data: methods with reproducibility, sensitivity, and specificity

Koji Kadota, Yuji Nakai, Kentaro Shimizu Algorithms for Molecular Biology 2009, 4:7 (22 April 2009)

Methodology article   Open Access

Bayesian optimal discovery procedure for simultaneous significance testing

Jing Cao, Xian-Jin Xie, Song Zhang, Angelique Whitehurst, Michael A White BMC Bioinformatics 2009, 10:5 (6 January 2009)

Methodology article   Open Access

Background correction using dinucleotide affinities improves the performance of GCRMA

Raad Z Gharaibeh, Anthony A Fodor, Cynthia J Gibas BMC Bioinformatics 2008, 9:452 (23 October 2008)