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Novel and simple transformation algorithm for combining microarray data sets.
Kim KY, Ki DH, Jeong HJ, Jeung HC, Chung HC, Rha SY.
BMC Bioinformatics. 2007 Jun 25;8:218.
PMID: 17588268 [PubMed - indexed for MEDLINE]
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The latent process decomposition of cDNA microarray data sets.
Rogers S, Girolami M, Campbell C, Breitling R.
IEEE/ACM Trans Comput Biol Bioinform. 2005 Apr-Jun;2(2):143-56.
PMID: 17044179 [PubMed - indexed for MEDLINE]
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MAID : an effect size based model for microarray data integration across laboratories and platforms.
Borozan I, Chen L, Paeper B, Heathcote JE, Edwards AM, Katze M, Zhang Z, McGilvray ID.
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Integrative missing value estimation for microarray data.
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Adjustment of systematic microarray data biases.
Benito M, Parker J, Du Q, Wu J, Xiang D, Perou CM, Marron JS.
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A meta-data based method for DNA microarray imputation.
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BMC Bioinformatics. 2007 Mar 29;8:109.
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Interactively optimizing signal-to-noise ratios in expression profiling: project-specific algorithm selection and detection p-value weighting in Affymetrix microarrays.
Seo J, Bakay M, Chen YW, Hilmer S, Shneiderman B, Hoffman EP.
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Cross-species and cross-platform gene expression studies with the Bioconductor-compliant R package 'annotationTools'.
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Dynamic variable selection in SNP genotype autocalling from APEX microarray data.
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Utilization of two sample t-test statistics from redundant probe sets to evaluate different probe set algorithms in GeneChip studies.
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lumi: a pipeline for processing Illumina microarray.
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Extracting gene expression patterns and identifying co-expressed genes from microarray data reveals biologically responsive processes.
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Orthogonal projections to latent structures as a strategy for microarray data normalization.
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Dinu I, Potter JD, Mueller T, Liu Q, Adewale AJ, Jhangri GS, Einecke G, Famulski KS, Halloran P, Yasui Y.
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Combining Pareto-optimal clusters using supervised learning for identifying co-expressed genes.
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