Biology Direct

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How high is the level of technical noise in microarray data?

Lev Klebanov and Andrei Yakovlev*

Biology Direct 2007, 2:9 doi:10.1186/1745-6150-2-9

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Microarrays, deep sequencing and the true measure of the transcriptome

John H Malone, Brian Oliver BMC Biology 2011, 9:34 (31 May 2011)

Global measures of gene expression can now be extracted either from microarrays or from RNA-seq, which do not always seem to give the same answer. Malone and Oliver review the advantages and limitations of each and conclude that, with some important exceptions, they tell the same story.

Research article   Open Access Highly Accessed

A comprehensive sensitivity analysis of microarray breast cancer classification under feature variability

Herman MJ Sontrop, Perry D Moerland, René van den Ham, Marcel JT Reinders, Wim FJ Verhaegh BMC Bioinformatics 2009, 10:389 (26 November 2009)

Research article   Open Access Highly Accessed

Sample entropy analysis of cervical neoplasia gene-expression signatures

Shaleen K Botting, Jerome P Trzeciakowski, Michelle F Benoit, Salama A Salama, Concepcion R Diaz-Arrastia BMC Bioinformatics 2009, 10:66 (20 February 2009)

Patterns of gene expression indicative of cervical cancer can be detected using approximate entropy analysis of microarray datasets to identify genes displaying minimum variation in control tissue versus maximum variation in cancerous samples.

Software   Open Access

PreP+07: improvements of a user friendly tool to preprocess and analyse microarray data

Victoria Martin-Requena, Antonio Muñoz-Merida, M Gonzalo Claros, Oswaldo Trelles BMC Bioinformatics 2009, 10:16 (12 January 2009)

Methodology article   Open Access Highly Accessed

Determining gene expression on a single pair of microarrays

Robert W Reid, Anthony A Fodor BMC Bioinformatics 2008, 9:489 (21 November 2008)

Research article   Open Access Highly Accessed

Using gene expression databases for classical trait QTL candidate gene discovery in the BXD recombinant inbred genetic reference population: Mouse forebrain weight

Lu Lu, Lai Wei, Jeremy L Peirce, Xusheng Wang, Jianhua Zhou, Ramin Homayouni, Robert W Williams, David C Airey BMC Genomics 2008, 9:444 (25 September 2008)

Proceedings   Open Access

From microarray to biology: an integrated experimental, statistical and in silico analysis of how the extracellular matrix modulates the phenotype of cancer cells

Mikhail G Dozmorov, Kimberly D Kyker, Paul J Hauser, Ricardo Saban, David D Buethe, Igor Dozmorov, Michael B Centola, Daniel J Culkin, Robert E Hurst BMC Bioinformatics 2008, 9(Suppl 9):S4 (12 August 2008)

Research   Open Access

Revisiting adverse effects of cross-hybridization in Affymetrix gene expression data: do they matter for correlation analysis?

Lev Klebanov, Linlin Chen, Andrei Yakovlev Biology Direct 2007, 2:28 (7 November 2007)