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Items: 1 to 20 of 919

1.
2.

Detecting biological associations between genes based on the theory of phase synchronization.

Kim CS, Riikonen P, Salakoski T.

Biosystems. 2008 May;92(2):99-113. doi: 10.1016/j.biosystems.2007.12.006. Epub 2008 Jan 11.

PMID:
18289772
3.
4.

Clustering microarray gene expression data using weighted Chinese restaurant process.

Qin ZS.

Bioinformatics. 2006 Aug 15;22(16):1988-97. Epub 2006 Jun 9.

PMID:
16766561
5.

Regulatory motif finding by logic regression.

Keles S, van der Laan MJ, Vulpe C.

Bioinformatics. 2004 Nov 1;20(16):2799-811. Epub 2004 May 27.

PMID:
15166027
6.

Clustering short time series gene expression data.

Ernst J, Nau GJ, Bar-Joseph Z.

Bioinformatics. 2005 Jun;21 Suppl 1:i159-68.

PMID:
15961453
7.

A copula method for modeling directional dependence of genes.

Kim JM, Jung YS, Sungur EA, Han KH, Park C, Sohn I.

BMC Bioinformatics. 2008 May 1;9:225. doi: 10.1186/1471-2105-9-225.

8.

Analysis of a Gibbs sampler method for model-based clustering of gene expression data.

Joshi A, Van de Peer Y, Michoel T.

Bioinformatics. 2008 Jan 15;24(2):176-83. Epub 2007 Nov 22.

PMID:
18033794
9.

Defining transcription modules using large-scale gene expression data.

Ihmels J, Bergmann S, Barkai N.

Bioinformatics. 2004 Sep 1;20(13):1993-2003. Epub 2004 Mar 25.

PMID:
15044247
10.

Adaptive quality-based clustering of gene expression profiles.

De Smet F, Mathys J, Marchal K, Thijs G, De Moor B, Moreau Y.

Bioinformatics. 2002 May;18(5):735-46.

PMID:
12050070
11.

Divisive Correlation Clustering Algorithm (DCCA) for grouping of genes: detecting varying patterns in expression profiles.

Bhattacharya A, De RK.

Bioinformatics. 2008 Jun 1;24(11):1359-66. doi: 10.1093/bioinformatics/btn133. Epub 2008 Apr 10.

PMID:
18407922
12.

Detecting clusters of different geometrical shapes in microarray gene expression data.

Kim DW, Lee KH, Lee D.

Bioinformatics. 2005 May 1;21(9):1927-34. Epub 2005 Jan 12.

PMID:
15647300
13.
14.

Supervised cluster analysis for microarray data based on multivariate Gaussian mixture.

Qu Y, Xu S.

Bioinformatics. 2004 Aug 12;20(12):1905-13. Epub 2004 Mar 25.

PMID:
15044244
15.

A mathematical and computational framework for quantitative comparison and integration of large-scale gene expression data.

Hart CE, Sharenbroich L, Bornstein BJ, Trout D, King B, Mjolsness E, Wold BJ.

Nucleic Acids Res. 2005 May 10;33(8):2580-94. Print 2005.

16.

Model-based clustering and data transformations for gene expression data.

Yeung KY, Fraley C, Murua A, Raftery AE, Ruzzo WL.

Bioinformatics. 2001 Oct;17(10):977-87.

PMID:
11673243
17.

CLICK and EXPANDER: a system for clustering and visualizing gene expression data.

Sharan R, Maron-Katz A, Shamir R.

Bioinformatics. 2003 Sep 22;19(14):1787-99.

PMID:
14512350
18.

Mining gene expression data using a novel approach based on hidden Markov models.

Ji X, Li-Ling J, Sun Z.

FEBS Lett. 2003 May 8;542(1-3):125-31.

19.

Rival penalized competitive learning (RPCL): a topology-determining algorithm for analyzing gene expression data.

Nair TM, Zheng CL, Fink JL, Stuart RO, Gribskov M.

Comput Biol Chem. 2003 Dec;27(6):565-74.

PMID:
14667784
20.

Mining gene expression databases for association rules.

Creighton C, Hanash S.

Bioinformatics. 2003 Jan;19(1):79-86.

PMID:
12499296

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