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Items: 1 to 20 of 106

1.

Subset quantile normalization using negative control features.

Wu Z, Aryee MJ.

J Comput Biol. 2010 Oct;17(10):1385-95.

2.

Use of normalization methods for analysis of microarrays containing a high degree of gene effects.

Ni TT, Lemon WJ, Shyr Y, Zhong TP.

BMC Bioinformatics. 2008 Nov 28;9:505. doi: 10.1186/1471-2105-9-505.

3.

Assessment of a novel multi-array normalization method based on spike-in control probes suitable for microRNA datasets with global decreases in expression.

Sewer A, Gubian S, Kogel U, Veljkovic E, Han W, Hengstermann A, Peitsch MC, Hoeng J.

BMC Res Notes. 2014 May 17;7:302. doi: 10.1186/1756-0500-7-302.

4.

Comparison of Affymetrix data normalization methods using 6,926 experiments across five array generations.

Autio R, Kilpinen S, Saarela M, Kallioniemi O, Hautaniemi S, Astola J.

BMC Bioinformatics. 2009 Jan 30;10 Suppl 1:S24. doi: 10.1186/1471-2105-10-S1-S24.

5.

Effect of various normalization methods on Applied Biosystems expression array system data.

Barbacioru CC, Wang Y, Canales RD, Sun YA, Keys DN, Chan F, Poulter KA, Samaha RR.

BMC Bioinformatics. 2006 Dec 15;7:533.

6.

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. doi: 10.1186/1471-2105-9-25.

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.

8.

Contrast normalization of oligonucleotide arrays.

Astrand M.

J Comput Biol. 2003;10(1):95-102.

PMID:
12676053
9.

Evaluation of normalization procedures for oligonucleotide array data based on spiked cRNA controls.

Hill AA, Brown EL, Whitley MZ, Tucker-Kellogg G, Hunter CP, Slonim DK.

Genome Biol. 2001;2(12):RESEARCH0055.

10.

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

Sásik R, Calvo E, Corbeil J.

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

11.

Effect of data normalization on fuzzy clustering of DNA microarray data.

Kim SY, Lee JW, Bae JS.

BMC Bioinformatics. 2006 Mar 14;7:134.

12.

How cyanobacteria pose new problems to old methods: challenges in microarray time series analysis.

Lehmann R, Machné R, Georg J, Benary M, Axmann I, Steuer R.

BMC Bioinformatics. 2013 Apr 21;14:133. doi: 10.1186/1471-2105-14-133.

13.

Iterative rank-order normalization of gene expression microarray data.

Welsh EA, Eschrich SA, Berglund AE, Fenstermacher DA.

BMC Bioinformatics. 2013 May 7;14:153. doi: 10.1186/1471-2105-14-153.

15.

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.

16.

Normalization of oligonucleotide arrays based on the least-variant set of genes.

Calza S, Valentini D, Pawitan Y.

BMC Bioinformatics. 2008 Mar 5;9:140. doi: 10.1186/1471-2105-9-140.

17.
18.

Normalization for Affymetrix GeneChips.

Boes T, Neuhäuser M.

Methods Inf Med. 2005;44(3):414-7.

PMID:
16113766
19.

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.

20.

Normalization of microarray data: single-labeled and dual-labeled arrays.

Do JH, Choi DK.

Mol Cells. 2006 Dec 31;22(3):254-61. Review.

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