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Items: 1 to 20 of 91

1.

Evaluation of fecal mRNA reproducibility via a marginal transformed mixture modeling approach.

George NI, Lupton JR, Turner ND, Chapkin RS, Davidson LA, Wang N.

BMC Bioinformatics. 2010 Jan 7;11:13. doi: 10.1186/1471-2105-11-13.

2.

Segmentation and intensity estimation of microarray images using a gamma-t mixture model.

Baek J, Son YS, McLachlan GJ.

Bioinformatics. 2007 Feb 15;23(4):458-65. Epub 2006 Dec 12.

PMID:
17166856
3.

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.

4.

Evaluating concentration estimation errors in ELISA microarray experiments.

Daly DS, White AM, Varnum SM, Anderson KK, Zangar RC.

BMC Bioinformatics. 2005 Jan 26;6:17.

5.

Including probe-level measurement error in robust mixture clustering of replicated microarray gene expression.

Liu X, Rattray M.

Stat Appl Genet Mol Biol. 2010;9:Article42. doi: 10.2202/1544-6115.1600. Epub 2010 Dec 9.

PMID:
21194414
6.
7.

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.

PMID:
11934740
8.

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.

PMID:
15691856
9.

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
10.

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
11.

Novel and simple transformation algorithm for combining microarray data sets.

Kim KY, Ki DH, Jeong HJ, Jeung HC, Chung HC, Rha SY.

BMC Bioinformatics. 2007 Jun 25;8:218.

12.

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

Sásik R, Calvo E, Corbeil J.

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

PMID:
12490448
13.

Model-based clustering of microarray expression data via latent Gaussian mixture models.

McNicholas PD, Murphy TB.

Bioinformatics. 2010 Nov 1;26(21):2705-12. doi: 10.1093/bioinformatics/btq498. Epub 2010 Aug 29.

PMID:
20802251
14.

Assessment of reliability of microarray data and estimation of signal thresholds using mixture modeling.

Asyali MH, Shoukri MM, Demirkaya O, Khabar KS.

Nucleic Acids Res. 2004 Apr 27;32(8):2323-35. Print 2004.

15.

Gaussian mixture clustering and imputation of microarray data.

Ouyang M, Welsh WJ, Georgopoulos P.

Bioinformatics. 2004 Apr 12;20(6):917-23. Epub 2004 Jan 29.

PMID:
14751970
16.

Class discovery and classification of tumor samples using mixture modeling of gene expression data--a unified approach.

Alexandridis R, Lin S, Irwin M.

Bioinformatics. 2004 Nov 1;20(16):2545-52. Epub 2004 Apr 29.

PMID:
15117753
17.

Intratumor heterogeneity and precision of microarray-based predictors of breast cancer biology and clinical outcome.

Barry WT, Kernagis DN, Dressman HK, Griffis RJ, Hunter JD, Olson JA, Marks JR, Ginsburg GS, Marcom PK, Nevins JR, Geradts J, Datto MB.

J Clin Oncol. 2010 May 1;28(13):2198-206. doi: 10.1200/JCO.2009.26.7245. Epub 2010 Apr 5.

18.

A mixture model with random-effects components for clustering correlated gene-expression profiles.

Ng SK, McLachlan GJ, Wang K, Ben-Tovim Jones L, Ng SW.

Bioinformatics. 2006 Jul 15;22(14):1745-52. Epub 2006 May 3.

PMID:
16675467
19.
20.

Assessment and statistical modeling of the relationship between remotely sensed aerosol optical depth and PM2.5 in the eastern United States.

Paciorek CJ, Liu Y; HEI Health Review Committee.

Res Rep Health Eff Inst. 2012 May;(167):5-83; discussion 85-91.

PMID:
22838153

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