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Items 1 - 20 of 164
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1:

Improving identification of differentially expressed genes in microarray studies using information from public databases.

Kim RD, Park PJ.

Genome Biol. 2004;5(9):R70. Epub 2004 Aug 26.

PMID: 15345054 [PubMed - indexed for MEDLINE]

2:

Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments.

Sartor MA, Tomlinson CR, Wesselkamper SC, Sivaganesan S, Leikauf GD, Medvedovic M.

BMC Bioinformatics. 2006 Dec 19;7:538.

PMID: 17177995 [PubMed - indexed for MEDLINE]

3:

Combining gene expression data from different generations of oligonucleotide arrays.

Hwang KB, Kong SW, Greenberg SA, Park PJ.

BMC Bioinformatics. 2004 Oct 25;5:159.

PMID: 15504239 [PubMed - indexed for MEDLINE]

4:

Sample size for identifying differentially expressed genes in microarray experiments.

Wang SJ, Chen JJ.

J Comput Biol. 2004;11(4):714-26.

PMID: 15579240 [PubMed - indexed for MEDLINE]

5:

Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data.

Jeffery IB, Higgins DG, Culhane AC.

BMC Bioinformatics. 2006 Jul 26;7:359.

PMID: 16872483 [PubMed - indexed for MEDLINE]

6:

Improving the statistical detection of regulated genes from microarray data using intensity-based variance estimation.

Comander J, Natarajan S, Gimbrone MA Jr, García-Cardeña G.

BMC Genomics. 2004 Feb 27;5(1):17.

PMID: 15113402 [PubMed - indexed for MEDLINE]

7:

EVE (external variance estimation) increases statistical power for detecting differentially expressed genes.

Wille A, Gruissem W, Bühlmann P, Hennig L.

Plant J. 2007 Nov;52(3):561-9. Epub 2007 Aug 3.

PMID: 17680783 [PubMed - indexed for MEDLINE]

9:

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.

PMID: 18616827 [PubMed - indexed for MEDLINE]

10:

Reproducibility of differential gene detection across multiple microarray studies.

Vo TM, Phan JH, Huynh KN, Wang MD.

Conf Proc IEEE Eng Med Biol Soc. 2007;2007:4231-4.

PMID: 18002936 [PubMed - indexed for MEDLINE]

11:

A comparison of meta-analysis methods for detecting differentially expressed genes in microarray experiments.

Hong F, Breitling R.

Bioinformatics. 2008 Feb 1;24(3):374-82. Epub 2008 Jan 18.

PMID: 18204063 [PubMed - indexed for MEDLINE]

12:

Data-adaptive test statistics for microarray data.

Mukherjee S, Roberts SJ, van der Laan MJ.

Bioinformatics. 2005 Sep 1;21 Suppl 2:ii108-14.

PMID: 16204088 [PubMed - indexed for MEDLINE]

13:

How many replicates of arrays are required to detect gene expression changes in microarray experiments? A mixture model approach.

Pan W, Lin J, Le CT.

Genome Biol. 2002;3(5):research0022. Epub 2002 Apr 22.

PMID: 12049663 [PubMed - indexed for MEDLINE]

14:

Mining published lists of cancer related microarray experiments: identification of a gene expression signature having a critical role in cell-cycle control.

Finocchiaro G, Mancuso F, Muller H.

BMC Bioinformatics. 2005 Dec 1;6 Suppl 4:S14.

PMID: 16351740 [PubMed - indexed for MEDLINE]

15:

A theoretical analysis of the selection of differentially expressed genes.

Mukherjee S, Roberts SJ.

J Bioinform Comput Biol. 2005 Jun;3(3):627-43.

PMID: 16108087 [PubMed - indexed for MEDLINE]

16:

Leveraging two-way probe-level block design for identifying differential gene expression with high-density oligonucleotide arrays.

Barrera L, Benner C, Tao YC, Winzeler E, Zhou Y.

BMC Bioinformatics. 2004 Apr 20;5:42.

PMID: 15099405 [PubMed - indexed for MEDLINE]

17:

A full Bayesian hierarchical mixture model for the variance of gene differential expression.

Manda SO, Walls RE, Gilthorpe MS.

BMC Bioinformatics. 2007 Apr 17;8:124.

PMID: 17439644 [PubMed - indexed for MEDLINE]

18:

Identification of endothelial cell genes by combined database mining and microarray analysis.

Ho M, Yang E, Matcuk G, Deng D, Sampas N, Tsalenko A, Tabibiazar R, Zhang Y, Chen M, Talbi S, Ho YD, Wang J, Tsao PS, Ben-Dor A, Yakhini Z, Bruhn L, Quertermous T.

Physiol Genomics. 2003 May 13;13(3):249-62.

PMID: 12644598 [PubMed - indexed for MEDLINE]

19:

Rank products: a simple, yet powerful, new method to detect differentially regulated genes in replicated microarray experiments.

Breitling R, Armengaud P, Amtmann A, Herzyk P.

FEBS Lett. 2004 Aug 27;573(1-3):83-92.

PMID: 15327980 [PubMed - indexed for MEDLINE]

20:

Quadratic regression analysis for gene discovery and pattern recognition for non-cyclic short time-course microarray experiments.

Liu H, Tarima S, Borders AS, Getchell TV, Getchell ML, Stromberg AJ.

BMC Bioinformatics. 2005 Apr 25;6:106.

PMID: 15850479 [PubMed - indexed for MEDLINE]

Items 1 - 20 of 164
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