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Items: 1 to 20 of 100

1.

Finding differentially expressed genes for pattern generation.

Abul O, Alhajj R, Polat F, Barker K.

Bioinformatics. 2005 Feb 15;21(4):445-50. Epub 2004 Dec 17.

PMID:
15608049
2.

A powerful approach for effective finding of significantly differentially expressed genes.

Abul O, Alhajj R, Polat F.

IEEE/ACM Trans Comput Biol Bioinform. 2006 Jul-Sep;3(3):220-31.

PMID:
17048460
3.
4.

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.

PMID:
14630659
5.

PAGE: phase-shifted analysis of gene expression.

Leung E, Bushel PR.

Bioinformatics. 2006 Feb 1;22(3):367-8. Epub 2005 Dec 1.

PMID:
16322047
6.

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.

PMID:
15731210
7.

Unsupervised pattern recognition: an introduction to the whys and wherefores of clustering microarray data.

Boutros PC, Okey AB.

Brief Bioinform. 2005 Dec;6(4):331-43. Review.

PMID:
16420732
8.
9.

Parallelization of multicategory support vector machines (PMC-SVM) for classifying microarray data.

Zhang C, Li P, Rajendran A, Deng Y, Chen D.

BMC Bioinformatics. 2006 Dec 12;7 Suppl 4:S15.

10.

Effective gene selection method with small sample sets using gradient-based and point injection techniques.

Huang D, Chow TW.

IEEE/ACM Trans Comput Biol Bioinform. 2007 Jul-Sep;4(3):467-75.

PMID:
17666766
11.

Clustering and re-clustering for pattern discovery in gene expression data.

Ma PC, Chan KC, Chiu DK.

J Bioinform Comput Biol. 2005 Apr;3(2):281-301.

PMID:
15852506
12.

Relational analysis of CpG islands methylation and gene expression in human lymphomas using possibilistic C-means clustering and modified cluster fuzzy density.

Sjahputera O, Keller JM, Davis JW, Taylor KH, Rahmatpanah F, Shi H, Anderson DT, Blisard SN, Luke RH, Popescu M, Arthur GC, Caldwell CW.

IEEE/ACM Trans Comput Biol Bioinform. 2007 Apr-Jun;4(2):176-89.

PMID:
17473312
13.

How does gene expression clustering work?

D'haeseleer P.

Nat Biotechnol. 2005 Dec;23(12):1499-501. Review.

PMID:
16333293
14.

A stable gene selection in microarray data analysis.

Yang K, Cai Z, Li J, Lin G.

BMC Bioinformatics. 2006 Apr 27;7:228.

15.

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.

16.

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
17.

Selecting informative genes for discriminant analysis using multigene expression profiles.

Yan X, Zheng T.

BMC Genomics. 2008 Sep 16;9 Suppl 2:S14. doi: 10.1186/1471-2164-9-S2-S14.

18.

Mining gene expression data based on template theory.

Yang ZR.

Bioinformatics. 2004 Nov 1;20(16):2759-66. Epub 2004 May 27.

PMID:
15166017
19.

Handling gene redundancy in microarray data using Grey Relational Analysis.

Zhang LJ, Li ZJ, Chen HW.

Int J Data Min Bioinform. 2008;2(2):134-44.

PMID:
18767351
20.

Supervised group Lasso with applications to microarray data analysis.

Ma S, Song X, Huang J.

BMC Bioinformatics. 2007 Feb 22;8:60.

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