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Items: 1 to 20 of 142

3.

Detecting differentially expressed genes by relative entropy.

Yan X, Deng M, Fung WK, Qian M.

J Theor Biol. 2005 Jun 7;234(3):395-402. Epub 2005 Jan 24.

PMID:
15784273
4.

The t-mixture model approach for detecting differentially expressed genes in microarrays.

Jiao S, Zhang S.

Funct Integr Genomics. 2008 Aug;8(3):181-6. doi: 10.1007/s10142-007-0071-6. Epub 2008 Jan 22.

PMID:
18210172
5.
6.

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.

8.

Multivariate hierarchical Bayesian model for differential gene expression analysis in microarray experiments.

Zhao H, Chan KL, Cheng LM, Yan H.

BMC Bioinformatics. 2008;9 Suppl 1:S9. doi: 10.1186/1471-2105-9-S1-S9.

9.

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

Sásik R, Calvo E, Corbeil J.

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

10.

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.

11.

Gene selection: a Bayesian variable selection approach.

Lee KE, Sha N, Dougherty ER, Vannucci M, Mallick BK.

Bioinformatics. 2003 Jan;19(1):90-7.

12.

Empirical bayes gene screening tool for time-course or dose-response microarray data.

Eckel JE, Gennings C, Chinchilli VM, Burgoon LD, Zacharewski TR.

J Biopharm Stat. 2004 Aug;14(3):647-70.

PMID:
15468757
13.

Identifying differentially expressed genes in meta-analysis via Bayesian model-based clustering.

Jung YY, Oh MS, Shin DW, Kang SH, Oh HS.

Biom J. 2006 Jun;48(3):435-50.

PMID:
16845907
14.
15.

Advanced significance analysis of microarray data based on weighted resampling: a comparative study and application to gene deletions in Mycobacterium bovis.

Kutalik Z, Inwald J, Gordon SV, Hewinson RG, Butcher P, Hinds J, Cho KH, Wolkenhauer O.

Bioinformatics. 2004 Feb 12;20(3):357-63.

16.

Empirical Bayes screening of many p-values with applications to microarray studies.

Datta S, Datta S.

Bioinformatics. 2005 May 1;21(9):1987-94. Epub 2005 Feb 2.

17.

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.

18.

A mixture model-based approach to the clustering of microarray expression data.

McLachlan GJ, Bean RW, Peel D.

Bioinformatics. 2002 Mar;18(3):413-22.

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