Microarray data analysis: from disarray to consolidation and consensus
- PMID: 16369572
- DOI: 10.1038/nrg1749
Microarray data analysis: from disarray to consolidation and consensus
Erratum in
- Nat Rev Genet. 2006 May;7(5):406
Abstract
In just a few years, microarrays have gone from obscurity to being almost ubiquitous in biological research. At the same time, the statistical methodology for microarray analysis has progressed from simple visual assessments of results to a weekly deluge of papers that describe purportedly novel algorithms for analysing changes in gene expression. Although the many procedures that are available might be bewildering to biologists who wish to apply them, statistical geneticists are recognizing commonalities among the different methods. Many are special cases of more general models, and points of consensus are emerging about the general approaches that warrant use and elaboration.
Similar articles
-
The influence of missing value imputation on detection of differentially expressed genes from microarray data.Bioinformatics. 2005 Dec 1;21(23):4272-9. doi: 10.1093/bioinformatics/bti708. Epub 2005 Oct 10. Bioinformatics. 2005. PMID: 16216830
-
Pathway analysis using random forests classification and regression.Bioinformatics. 2006 Aug 15;22(16):2028-36. doi: 10.1093/bioinformatics/btl344. Epub 2006 Jun 29. Bioinformatics. 2006. PMID: 16809386
-
Can Zipf's law be adapted to normalize microarrays?BMC Bioinformatics. 2005 Feb 23;6:37. doi: 10.1186/1471-2105-6-37. BMC Bioinformatics. 2005. PMID: 15727680 Free PMC article.
-
A primer on gene expression and microarrays for machine learning researchers.J Biomed Inform. 2004 Aug;37(4):293-303. doi: 10.1016/j.jbi.2004.07.002. J Biomed Inform. 2004. PMID: 15465482 Review.
-
Pre-processing of microarray data and analysis of differential expression.Methods Mol Biol. 2008;452:89-110. doi: 10.1007/978-1-60327-159-2_4. Methods Mol Biol. 2008. PMID: 18563370 Review.
Cited by
-
Gene expression profiles of spleen, liver, and head kidney in turbot (Scophthalmus maximus) along the infection process with Philasterides dicentrarchi using an immune-enriched oligo-microarray.Mar Biotechnol (NY). 2012 Oct;14(5):570-82. doi: 10.1007/s10126-012-9440-9. Epub 2012 Feb 26. Mar Biotechnol (NY). 2012. PMID: 22367415
-
Tissue-adjusted pathway analysis of cancer (TPAC): A novel approach for quantifying tumor-specific gene set dysregulation relative to normal tissue.PLoS Comput Biol. 2024 Jan 11;20(1):e1011717. doi: 10.1371/journal.pcbi.1011717. eCollection 2024 Jan. PLoS Comput Biol. 2024. PMID: 38206988 Free PMC article.
-
integIRTy: a method to identify genes altered in cancer by accounting for multiple mechanisms of regulation using item response theory.Bioinformatics. 2012 Nov 15;28(22):2861-9. doi: 10.1093/bioinformatics/bts561. Epub 2012 Sep 26. Bioinformatics. 2012. PMID: 23014630 Free PMC article.
-
Fold change and p-value cutoffs significantly alter microarray interpretations.BMC Bioinformatics. 2012 Mar 13;13 Suppl 2(Suppl 2):S11. doi: 10.1186/1471-2105-13-S2-S11. BMC Bioinformatics. 2012. PMID: 22536862 Free PMC article.
-
Measuring semantic similarities by combining gene ontology annotations and gene co-function networks.BMC Bioinformatics. 2015 Feb 14;16:44. doi: 10.1186/s12859-015-0474-7. BMC Bioinformatics. 2015. PMID: 25886899 Free PMC article.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources