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Results: 1 to 20 of 274

Similar articles for PubMed (Select 21551140)

1.

Application of the Bayesian MMSE estimator for classification error to gene expression microarray data.

Dalton LA, Dougherty ER.

Bioinformatics. 2011 Jul 1;27(13):1822-31. doi: 10.1093/bioinformatics/btr272. Epub 2011 May 5.

2.

Missing-value estimation using linear and non-linear regression with Bayesian gene selection.

Zhou X, Wang X, Dougherty ER.

Bioinformatics. 2003 Nov 22;19(17):2302-7.

3.

Genetic test bed for feature selection.

Choudhary A, Brun M, Hua J, Lowey J, Suh E, Dougherty ER.

Bioinformatics. 2006 Apr 1;22(7):837-42. Epub 2006 Jan 20.

4.

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.

5.

Weighted lasso in graphical Gaussian modeling for large gene network estimation based on microarray data.

Shimamura T, Imoto S, Yamaguchi R, Miyano S.

Genome Inform. 2007;19:142-53.

PMID:
18546512
6.

Optimal number of features as a function of sample size for various classification rules.

Hua J, Xiong Z, Lowey J, Suh E, Dougherty ER.

Bioinformatics. 2005 Apr 15;21(8):1509-15. Epub 2004 Nov 30.

7.

Strong feature sets from small samples.

Kim S, Dougherty ER, Barrera J, Chen Y, Bittner ML, Trent JM.

J Comput Biol. 2002;9(1):127-46.

PMID:
11911798
8.

A GMM-IG framework for selecting genes as expression panel biomarkers.

Wang M, Chen JY.

Artif Intell Med. 2010 Feb-Mar;48(2-3):75-82. doi: 10.1016/j.artmed.2009.07.006. Epub 2009 Dec 8.

PMID:
20004087
9.

Moments and Root-Mean-Square Error of the Bayesian MMSE Estimator of Classification Error in the Gaussian Model.

Zollanvari A, Dougherty ER.

Pattern Recognit. 2014 Jun 1;47(6):2178-2192.

PMID:
24729636
10.

Multiple-rule bias in the comparison of classification rules.

Yousefi MR, Hua J, Dougherty ER.

Bioinformatics. 2011 Jun 15;27(12):1675-83. doi: 10.1093/bioinformatics/btr262. Epub 2011 May 5.

11.

Is cross-validation valid for small-sample microarray classification?

Braga-Neto UM, Dougherty ER.

Bioinformatics. 2004 Feb 12;20(3):374-80.

12.

Gene selection in cancer classification using sparse logistic regression with Bayesian regularization.

Cawley GC, Talbot NL.

Bioinformatics. 2006 Oct 1;22(19):2348-55. Epub 2006 Jul 14.

13.

An empirical Bayes approach to inferring large-scale gene association networks.

Schäfer J, Strimmer K.

Bioinformatics. 2005 Mar;21(6):754-64. Epub 2004 Oct 12.

14.

Empirical Bayes estimation of gene-specific effects in micro-array research.

Edwards JW, Page GP, Gadbury G, Heo M, Kayo T, Weindruch R, Allison DB.

Funct Integr Genomics. 2005 Jan;5(1):32-9. Epub 2004 Sep 29. Erratum in: Funct Integr Genomics. 2006 Jul;6(3):261.

PMID:
15455262
15.

Collateral missing value imputation: a new robust missing value estimation algorithm for microarray data.

Sehgal MS, Gondal I, Dooley LS.

Bioinformatics. 2005 May 15;21(10):2417-23. Epub 2005 Feb 24.

16.

Multiclass kernel-imbedded Gaussian processes for microarray data analysis.

Zhao X, Cheung LW.

IEEE/ACM Trans Comput Biol Bioinform. 2011 Jul-Aug;8(4):1041-53. doi: 10.1109/TCBB.2010.85.

PMID:
20805625
17.
18.

A Bayesian missing value estimation method for gene expression profile data.

Oba S, Sato MA, Takemasa I, Monden M, Matsubara K, Ishii S.

Bioinformatics. 2003 Nov 1;19(16):2088-96.

19.

Modeling and visualizing uncertainty in gene expression clusters using dirichlet process mixtures.

Rasmussen CE, de la Cruz BJ, Ghahramani Z, Wild DL.

IEEE/ACM Trans Comput Biol Bioinform. 2009 Oct-Dec;6(4):615-28. doi: 10.1109/TCBB.2007.70269.

PMID:
19875860
20.

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.

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