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Orthogonal projections to latent structures as a strategy for microarray data normalization.
Bylesjö M, Eriksson D, Sjödin A, Jansson S, Moritz T, Trygg J.
BMC Bioinformatics. 2007 Jun 18;8:207.
PMID: 17577396 [PubMed - indexed for MEDLINE]
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Using generalized procrustes analysis (GPA) for normalization of cDNA microarray data.
Xiong H, Zhang D, Martyniuk CJ, Trudeau VL, Xia X.
BMC Bioinformatics. 2008 Jan 16;9:25.
PMID: 18199333 [PubMed - indexed for MEDLINE]
Can Zipf's law be adapted to normalize microarrays?
Lu T, Costello CM, Croucher PJ, Häsler R, Deuschl G, Schreiber S.
BMC Bioinformatics. 2005 Feb 23;6:37.
PMID: 15727680 [PubMed - indexed for MEDLINE]
A robust neural networks approach for spatial and intensity-dependent normalization of cDNA microarray data.
Tarca AL, Cooke JE, Mackay J.
Bioinformatics. 2005 Jun 1;21(11):2674-83. Epub 2005 Mar 29.
PMID: 15797913 [PubMed - indexed for MEDLINE]
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Systematic variation normalization in microarray data to get gene expression comparison unbiased.
Chou JW, Paules RS, Bushel PR.
J Bioinform Comput Biol. 2005 Apr;3(2):225-41.
PMID: 15852502 [PubMed - indexed for MEDLINE]
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Methodological study of affine transformations of gene expression data with proposed robust non-parametric multi-dimensional normalization method.
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Barbacioru CC, Wang Y, Canales RD, Sun YA, Keys DN, Chan F, Poulter KA, Samaha RR.
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Data-adaptive test statistics for microarray data.
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Re-sampling strategy to improve the estimation of number of null hypotheses in FDR control under strong correlation structures.
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Normalization and experimental design for ChIP-chip data.
Peng S, Alekseyenko AA, Larschan E, Kuroda MI, Park PJ.
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Spatial normalization of array-CGH data.
Neuvial P, Hupé P, Brito I, Liva S, Manié E, Brennetot C, Radvanyi F, Aurias A, Barillot E.
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Replication, variation and normalisation in microarray experiments.
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Normalization for Affymetrix GeneChips.
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Analysis with respect to instrumental variables for the exploration of microarray data structures.
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The latent process decomposition of cDNA microarray data sets.
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Improving missing value estimation in microarray data with gene ontology.
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