Literature DB >> 21044041

The detection of blur in affymetrix GeneChips.

Graham J G Upton1, Andrew P Harrison.   

Abstract

High correlations were obtained between probes in seemingly unrelated probe sets, following an examination of the data from thousands of Affymetrix GeneChips. Investigation revealed that these unexpected correlations were between probes that were adjacent to high-valued probes. Using carefully selected probes, together with simple linear models, the extent of blur has been measured for each CEL file. The cause is shown to be attributable to poorly performing scanners. Blur can result in the doubling of the values of thousands of probes. This in turn can lead to the doubling of the expression level for hundreds of probe sets.

Mesh:

Year:  2010        PMID: 21044041     DOI: 10.2202/1544-6115.1590

Source DB:  PubMed          Journal:  Stat Appl Genet Mol Biol        ISSN: 1544-6115


  3 in total

1.  Biological assessment of robust noise models in microarray data analysis.

Authors:  A Posekany; K Felsenstein; P Sykacek
Journal:  Bioinformatics       Date:  2011-01-19       Impact factor: 6.937

2.  Motif effects in Affymetrix GeneChips seriously affect probe intensities.

Authors:  Graham J G Upton; Andrew P Harrison
Journal:  Nucleic Acids Res       Date:  2012-08-16       Impact factor: 16.971

Review 3.  Physico-chemical foundations underpinning microarray and next-generation sequencing experiments.

Authors:  Andrew Harrison; Hans Binder; Arnaud Buhot; Conrad J Burden; Enrico Carlon; Cynthia Gibas; Lara J Gamble; Avraham Halperin; Jef Hooyberghs; David P Kreil; Rastislav Levicky; Peter A Noble; Albrecht Ott; B Montgomery Pettitt; Diethard Tautz; Alexander E Pozhitkov
Journal:  Nucleic Acids Res       Date:  2013-01-09       Impact factor: 16.971

  3 in total

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