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Items: 1 to 20 of 216

1.

Differential analysis of DNA microarray gene expression data.

Hatfield GW, Hung SP, Baldi P.

Mol Microbiol. 2003 Feb;47(4):871-7. Review.

2.
3.

Global gene expression profiling in Escherichia coli K12. The effects of leucine-responsive regulatory protein.

Hung SP, Baldi P, Hatfield GW.

J Biol Chem. 2002 Oct 25;277(43):40309-23. Epub 2002 Jul 18.

4.

DNA microarray data imputation and significance analysis of differential expression.

Jörnsten R, Wang HY, Welsh WJ, Ouyang M.

Bioinformatics. 2005 Nov 15;21(22):4155-61. Epub 2005 Aug 23.

PMID:
16118262
5.

Bayesian hierarchical error model for analysis of gene expression data.

Cho H, Lee JK.

Bioinformatics. 2004 Sep 1;20(13):2016-25. Epub 2004 Mar 25.

PMID:
15044230
6.
7.

Computational strategies for analyzing data in gene expression microarray experiments.

Aittokallio T, Kurki M, Nevalainen O, Nikula T, West A, Lahesmaa R.

J Bioinform Comput Biol. 2003 Oct;1(3):541-86. Review.

PMID:
15290769
8.

Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data.

Shedden K, Chen W, Kuick R, Ghosh D, Macdonald J, Cho KR, Giordano TJ, Gruber SB, Fearon ER, Taylor JM, Hanash S.

BMC Bioinformatics. 2005 Feb 10;6:26.

9.

Determination of the differentially expressed genes in microarray experiments using local FDR.

Aubert J, Bar-Hen A, Daudin JJ, Robin S.

BMC Bioinformatics. 2004 Sep 6;5:125.

10.

Statistical analysis of microarray data: a Bayesian approach.

Gottardo R, Pannucci JA, Kuske CR, Brettin T.

Biostatistics. 2003 Oct;4(4):597-620.

PMID:
14557114
11.

Microarray data analysis and mining.

Saviozzi S, Iazzetti G, Caserta E, Guffanti A, Calogero RA.

Methods Mol Med. 2004;94:67-90.

PMID:
14959823
12.

Bayesian mixture model based clustering of replicated microarray data.

Medvedovic M, Yeung KY, Bumgarner RE.

Bioinformatics. 2004 May 22;20(8):1222-32. Epub 2004 Feb 10.

PMID:
14871871
13.

Bayesian hierarchical modeling for time course microarray experiments.

Chi YY, Ibrahim JG, Bissahoyo A, Threadgill DW.

Biometrics. 2007 Jun;63(2):496-504.

PMID:
17688501
14.

Practical FDR-based sample size calculations in microarray experiments.

Hu J, Zou F, Wright FA.

Bioinformatics. 2005 Aug 1;21(15):3264-72. Epub 2005 Jun 2.

PMID:
15932903
15.

A conditional density error model for the statistical analysis of microarray data.

Love B, Rank DR, Penn SG, Jenkins DA, Thomas RS.

Bioinformatics. 2002 Aug;18(8):1064-72.

PMID:
12176829
16.

Interpretation, design, and analysis of gene array expression experiments.

Miller RA, Galecki A, Shmookler-Reis RJ.

J Gerontol A Biol Sci Med Sci. 2001 Feb;56(2):B52-7.

PMID:
11213267
17.

A Laplace mixture model for identification of differential expression in microarray experiments.

Bhowmick D, Davison AC, Goldstein DR, Ruffieux Y.

Biostatistics. 2006 Oct;7(4):630-41. Epub 2006 Mar 24.

PMID:
16565148
18.

Selection of differentially expressed genes in microarray data analysis.

Chen JJ, Wang SJ, Tsai CA, Lin CJ.

Pharmacogenomics J. 2007 Jun;7(3):212-20. Epub 2006 Aug 29.

PMID:
16940966
19.

A probabilistic framework for microarray data analysis: fundamental probability models and statistical inference.

Ogunnaike BA, Gelmi CA, Edwards JS.

J Theor Biol. 2010 May 21;264(2):211-22. doi: 10.1016/j.jtbi.2010.02.021. Epub 2010 Feb 17.

PMID:
20170665
20.

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.

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