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Items: 1 to 20 of 105

1.

Direct integration of intensity-level data from Affymetrix and Illumina microarrays improves statistical power for robust reanalysis.

Turnbull AK, Kitchen RR, Larionov AA, Renshaw L, Dixon JM, Sims AH.

BMC Med Genomics. 2012 Aug 21;5:35. doi: 10.1186/1755-8794-5-35.

3.

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.

BMC Bioinformatics. 2008 Jul 10;9:305. doi: 10.1186/1471-2105-9-305.

4.

Cross-platform expression microarray performance in a mouse model of mitochondrial disease therapy.

Zhang Z, Gasser DL, Rappaport EF, Falk MJ.

Mol Genet Metab. 2010 Mar;99(3):309-18. doi: 10.1016/j.ymgme.2009.10.179. Epub 2009 Oct 30.

5.
6.

Correcting for intra-experiment variation in Illumina BeadChip data is necessary to generate robust gene-expression profiles.

Kitchen RR, Sabine VS, Sims AH, Macaskill EJ, Renshaw L, Thomas JS, van Hemert JI, Dixon JM, Bartlett JM.

BMC Genomics. 2010 Feb 24;11:134. doi: 10.1186/1471-2164-11-134.

7.

Are data from different gene expression microarray platforms comparable?

Järvinen AK, Hautaniemi S, Edgren H, Auvinen P, Saarela J, Kallioniemi OP, Monni O.

Genomics. 2004 Jun;83(6):1164-8.

PMID:
15177569
8.

Evaluation of the similarity of gene expression data estimated with SAGE and Affymetrix GeneChips.

van Ruissen F, Ruijter JM, Schaaf GJ, Asgharnegad L, Zwijnenburg DA, Kool M, Baas F.

BMC Genomics. 2005 Jun 14;6:91.

9.

Experimental comparison and cross-validation of the Affymetrix and Illumina gene expression analysis platforms.

Barnes M, Freudenberg J, Thompson S, Aronow B, Pavlidis P.

Nucleic Acids Res. 2005 Oct 19;33(18):5914-23. Print 2005.

10.

Gene expression and isoform variation analysis using Affymetrix Exon Arrays.

Bemmo A, Benovoy D, Kwan T, Gaffney DJ, Jensen RV, Majewski J.

BMC Genomics. 2008 Nov 7;9:529. doi: 10.1186/1471-2164-9-529. Erratum in: BMC Genomics. 2009 Mar 23;10. doi: 10.1186/1471-2164-10-121.

11.

Evaluating methods for ranking differentially expressed genes applied to microArray quality control data.

Kadota K, Shimizu K.

BMC Bioinformatics. 2011 Jun 6;12:227. doi: 10.1186/1471-2105-12-227.

12.

Statistical analysis of an RNA titration series evaluates microarray precision and sensitivity on a whole-array basis.

Holloway AJ, Oshlack A, Diyagama DS, Bowtell DD, Smyth GK.

BMC Bioinformatics. 2006 Nov 22;7:511.

13.

Inter-platform comparability of microarrays in acute lymphoblastic leukemia.

Mitchell SA, Brown KM, Henry MM, Mintz M, Catchpoole D, LaFleur B, Stephan DA.

BMC Genomics. 2004 Sep 23;5:71.

14.

Cross platform microarray analysis for robust identification of differentially expressed genes.

Bosotti R, Locatelli G, Healy S, Scacheri E, Sartori L, Mercurio C, Calogero R, Isacchi A.

BMC Bioinformatics. 2007 Mar 8;8 Suppl 1:S5.

15.

BGX: a Bioconductor package for the Bayesian integrated analysis of Affymetrix GeneChips.

Turro E, Bochkina N, Hein AM, Richardson S.

BMC Bioinformatics. 2007 Nov 12;8:439.

16.
17.

lumi: a pipeline for processing Illumina microarray.

Du P, Kibbe WA, Lin SM.

Bioinformatics. 2008 Jul 1;24(13):1547-8. doi: 10.1093/bioinformatics/btn224. Epub 2008 May 8.

PMID:
18467348
18.

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.

19.

Relative power and sample size analysis on gene expression profiling data.

van Iterson M, 't Hoen PA, Pedotti P, Hooiveld GJ, den Dunnen JT, van Ommen GJ, Boer JM, Menezes RX.

BMC Genomics. 2009 Sep 17;10:439. doi: 10.1186/1471-2164-10-439.

20.

The removal of multiplicative, systematic bias allows integration of breast cancer gene expression datasets - improving meta-analysis and prediction of prognosis.

Sims AH, Smethurst GJ, Hey Y, Okoniewski MJ, Pepper SD, Howell A, Miller CJ, Clarke RB.

BMC Med Genomics. 2008 Sep 21;1:42. doi: 10.1186/1755-8794-1-42.

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