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Results: 1 to 20 of 108

Similar articles for PubMed (Select 17204140)

1.
2.

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.

3.

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.

4.

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

Do JH, Choi DK.

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

5.

Profound effect of normalization on detection of differentially expressed genes in oligonucleotide microarray data analysis.

Hoffmann R, Seidl T, Dugas M.

Genome Biol. 2002 Jun 14;3(7):RESEARCH0033. Epub 2002 Jun 14.

6.

Two-stage normalization using background intensities in cDNA microarray data.

Yoon D, Yi SG, Kim JH, Park T.

BMC Bioinformatics. 2004 Jul 21;5:97.

7.

A new non-linear normalization method for reducing variability in DNA microarray experiments.

Workman C, Jensen LJ, Jarmer H, Berka R, Gautier L, Nielser HB, Saxild HH, Nielsen C, Brunak S, Knudsen S.

Genome Biol. 2002 Aug 30;3(9):research0048. Epub 2002 Aug 30.

8.

Normalization of low-density microarray using external spike-in controls: analysis of macrophage cell lines expression profile.

Fardin P, Moretti S, Biasotti B, Ricciardi A, Bonassi S, Varesio L.

BMC Genomics. 2007 Jan 17;8:17.

9.

A stepwise framework for the normalization of array CGH data.

Khojasteh M, Lam WL, Ward RK, MacAulay C.

BMC Bioinformatics. 2005 Nov 18;6:274.

10.

Supervised Lowess normalization of comparative genome hybridization data--application to lactococcal strain comparisons.

van Hijum SA, Baerends RJ, Zomer AL, Karsens HA, Martin-Requena V, Trelles O, Kok J, Kuipers OP.

BMC Bioinformatics. 2008 Feb 11;9:93. doi: 10.1186/1471-2105-9-93.

11.

Normalization for triple-target microarray experiments.

Martin-Magniette ML, Aubert J, Bar-Hen A, Elftieh S, Magniette F, Renou JP, Daudin JJ.

BMC Bioinformatics. 2008 Apr 28;9:216. doi: 10.1186/1471-2105-9-216.

12.

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
13.

Illumina WG-6 BeadChip strips should be normalized separately.

Shi W, Banerjee A, Ritchie ME, Gerondakis S, Smyth GK.

BMC Bioinformatics. 2009 Nov 11;10:372. doi: 10.1186/1471-2105-10-372.

14.

Using linear mixed models for normalization of cDNA microarrays.

Haldermans P, Shkedy Z, Van Sanden S, Burzykowski T, Aerts M.

Stat Appl Genet Mol Biol. 2007;6:Article 19. Epub 2007 Jul 26.

PMID:
17672821
15.

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.

16.

A novel normalization method for effective removal of systematic variation in microarray data.

Chua SW, Vijayakumar P, Nissom PM, Yam CY, Wong VV, Yang H.

Nucleic Acids Res. 2006 Mar 9;34(5):e38. Print 2006.

17.

Statistical designs for two-color spotted microarray experiments.

Chai FS, Liao CT, Tsai SF.

Biom J. 2007 Apr;49(2):259-71.

PMID:
17476948
18.

A new outlier removal approach for cDNA microarray normalization.

Wu Y, Yan L, Liu H, Sun H, Xie H.

Biotechniques. 2009 Aug;47(2):691-2, 694-700. doi: 10.2144/000113195.

19.
20.

Comparison of sequence-dependent tiling array normalization approaches.

Chung HR, Vingron M.

BMC Bioinformatics. 2009 Jun 30;10:204. doi: 10.1186/1471-2105-10-204.

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