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Items: 1 to 20 of 102

1.

A measure of the signal-to-noise ratio of microarray samples and studies using gene correlations.

Venet D, Detours V, Bersini H.

PLoS One. 2012;7(12):e51013. doi: 10.1371/journal.pone.0051013. Epub 2012 Dec 12.

2.

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.

Bioinformatics. 2004 Nov 1;20(16):2534-44. Epub 2004 Apr 29.

PMID:
15117752
3.

virtualArray: a R/bioconductor package to merge raw data from different microarray platforms.

Heider A, Alt R.

BMC Bioinformatics. 2013 Mar 2;14:75. doi: 10.1186/1471-2105-14-75.

4.

Cross-species and cross-platform gene expression studies with the Bioconductor-compliant R package 'annotationTools'.

Kuhn A, Luthi-Carter R, Delorenzi M.

BMC Bioinformatics. 2008 Jan 17;9:26. doi: 10.1186/1471-2105-9-26.

5.

massiR: a method for predicting the sex of samples in gene expression microarray datasets.

Buckberry S, Bent SJ, Bianco-Miotto T, Roberts CT.

Bioinformatics. 2014 Jul 15;30(14):2084-5. doi: 10.1093/bioinformatics/btu161. Epub 2014 Mar 22.

6.

Statistical analysis of high-density oligonucleotide arrays: a multiplicative noise model.

Sásik R, Calvo E, Corbeil J.

Bioinformatics. 2002 Dec;18(12):1633-40.

PMID:
12490448
7.

A single-sample microarray normalization method to facilitate personalized-medicine workflows.

Piccolo SR, Sun Y, Campbell JD, Lenburg ME, Bild AH, Johnson WE.

Genomics. 2012 Dec;100(6):337-44. doi: 10.1016/j.ygeno.2012.08.003. Epub 2012 Aug 19.

8.

Interval-valued analysis for discriminative gene selection and tissue sample classification using microarray data.

Qi Y, Yang X.

Genomics. 2013 Jan;101(1):38-48. doi: 10.1016/j.ygeno.2012.09.004. Epub 2012 Sep 20.

9.
10.

Codelink: an R package for analysis of GE healthcare gene expression bioarrays.

Diez D, Alvarez R, Dopazo A.

Bioinformatics. 2007 May 1;23(9):1168-9. Epub 2007 Mar 7.

PMID:
17344240
11.

Micro-Analyzer: automatic preprocessing of Affymetrix microarray data.

Guzzi PH, Cannataro M.

Comput Methods Programs Biomed. 2013 Aug;111(2):402-9. doi: 10.1016/j.cmpb.2013.04.006. Epub 2013 May 31.

PMID:
23731720
12.

ARSyN: a method for the identification and removal of systematic noise in multifactorial time course microarray experiments.

Nueda MJ, Ferrer A, Conesa A.

Biostatistics. 2012 Jul;13(3):553-66. doi: 10.1093/biostatistics/kxr042. Epub 2011 Nov 14.

PMID:
22085896
13.

mu-CS: an extension of the TM4 platform to manage Affymetrix binary data.

Guzzi PH, Cannataro M.

BMC Bioinformatics. 2010 Jun 10;11:315. doi: 10.1186/1471-2105-11-315.

14.

Empirical array quality weights in the analysis of microarray data.

Ritchie ME, Diyagama D, Neilson J, van Laar R, Dobrovic A, Holloway A, Smyth GK.

BMC Bioinformatics. 2006 May 19;7:261.

15.

High-throughput processing and normalization of one-color microarrays for transcriptional meta-analyses.

Dozmorov MG, Wren JD.

BMC Bioinformatics. 2011 Oct 18;12 Suppl 10:S2. doi: 10.1186/1471-2105-12-S10-S2.

16.

Comparison of gene expression microarray data with count-based RNA measurements informs microarray interpretation.

Richard AC, Lyons PA, Peters JE, Biasci D, Flint SM, Lee JC, McKinney EF, Siegel RM, Smith KG.

BMC Genomics. 2014 Aug 4;15:649. doi: 10.1186/1471-2164-15-649.

17.
18.

Importing ArrayExpress datasets into R/Bioconductor.

Kauffmann A, Rayner TF, Parkinson H, Kapushesky M, Lukk M, Brazma A, Huber W.

Bioinformatics. 2009 Aug 15;25(16):2092-4. doi: 10.1093/bioinformatics/btp354. Epub 2009 Jun 8.

19.

Estimating gene signals from noisy microarray images.

Sarder P, Nehorai A, Davis PH, Stanley SL.

IEEE Trans Nanobioscience. 2008 Jun;7(2):142-53. doi: 10.1109/TNB.2008.2000745.

20.

Noise factor analysis for cDNA microarrays.

Balagurunathan Y, Wang N, Dougherty ER, Nguyen D, Chen Y, Bittner ML, Trent J, Carroll R.

J Biomed Opt. 2004 Jul-Aug;9(4):663-78.

PMID:
15250753

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