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Items: 1 to 20 of 115

1.

Position-based clustering of microarray expression data.

Faulk C, Kim J.

Cold Spring Harb Protoc. 2009 Sep;2009(9):pdb.prot5280. doi: 10.1101/pdb.prot5280. No abstract available.

PMID:
20147265
2.

How does gene expression clustering work?

D'haeseleer P.

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

PMID:
16333293
3.
4.

Discovering biclusters in gene expression data based on high-dimensional linear geometries.

Gan X, Liew AW, Yan H.

BMC Bioinformatics. 2008 Apr 23;9:209. doi: 10.1186/1471-2105-9-209.

5.

Rank-based clustering analysis for the time-course microarray data.

Yi SG, Joo YJ, Park T.

J Bioinform Comput Biol. 2009 Feb;7(1):75-91.

PMID:
19226661
6.

An improved algorithm for clustering gene expression data.

Bandyopadhyay S, Mukhopadhyay A, Maulik U.

Bioinformatics. 2007 Nov 1;23(21):2859-65.

7.

An evolving neural network for the interpretation of gene expression patterns.

Marquez Mdel C, Perez PP, Lagunez-Otero J.

OMICS. 2005 Summer;9(2):209-17.

PMID:
15969651
8.

On mining micro-array data by Order-Preserving Submatrix.

Cheung L, Cheung DW, Kao B, Yip KY; Michael K. Ng..

Int J Bioinform Res Appl. 2007;3(1):42-64.

PMID:
18048172
9.

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.

10.

Graph-based consensus clustering for class discovery from gene expression data.

Yu Z, Wong HS, Wang H.

Bioinformatics. 2007 Nov 1;23(21):2888-96.

11.

Clustering-based spot segmentation of cDNA microarray images.

Uslan V, Bucak IÖ.

Conf Proc IEEE Eng Med Biol Soc. 2010;2010:1828-31. doi: 10.1109/IEMBS.2010.5626430.

PMID:
21096143
12.

Finding gene clusters for a replicated time course study.

Qin LX, Breeden L, Self SG.

BMC Res Notes. 2014 Jan 24;7:60. doi: 10.1186/1756-0500-7-60.

13.
14.

Analysis of DNA microarray data.

Hackl H, Sanchez Cabo F, Sturn A, Wolkenhauer O, Trajanoski Z.

Curr Top Med Chem. 2004;4(13):1357-70. Review.

PMID:
15379650
15.

A multi-stage approach to clustering and imputation of gene expression profiles.

Wong DS, Wong FK, Wood GR.

Bioinformatics. 2007 Apr 15;23(8):998-1005.

16.

The analysis of microarray data.

Hariharan R.

Pharmacogenomics. 2003 Jul;4(4):477-97. Review.

PMID:
12831325
17.

Noise-robust soft clustering of gene expression time-course data.

Futschik ME, Carlisle B.

J Bioinform Comput Biol. 2005 Aug;3(4):965-88.

PMID:
16078370
18.

Clustering gene expression data with kernel principal components.

Liu Z, Chen D, Bensmail H, Xu Y.

J Bioinform Comput Biol. 2005 Apr;3(2):303-16.

PMID:
15852507
19.

TimeClust: a clustering tool for gene expression time series.

Magni P, Ferrazzi F, Sacchi L, Bellazzi R.

Bioinformatics. 2008 Feb 1;24(3):430-2.

20.
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