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Items: 1 to 20 of 127

1.

jClust: a clustering and visualization toolbox.

Pavlopoulos GA, Moschopoulos CN, Hooper SD, Schneider R, Kossida S.

Bioinformatics. 2009 Aug 1;25(15):1994-6. doi: 10.1093/bioinformatics/btp330. Epub 2009 May 19.

2.

A modified hyperplane clustering algorithm allows for efficient and accurate clustering of extremely large datasets.

Sharma A, Podolsky R, Zhao J, McIndoe RA.

Bioinformatics. 2009 May 1;25(9):1152-7. doi: 10.1093/bioinformatics/btp123. Epub 2009 Mar 4.

3.

BicAT: a biclustering analysis toolbox.

Barkow S, Bleuler S, Prelic A, Zimmermann P, Zitzler E.

Bioinformatics. 2006 May 15;22(10):1282-3. Epub 2006 Mar 21.

PMID:
16551664
4.
5.

Computational cluster validation in post-genomic data analysis.

Handl J, Knowles J, Kell DB.

Bioinformatics. 2005 Aug 1;21(15):3201-12. Epub 2005 May 24. Review.

PMID:
15914541
6.

An interactive approach to multiobjective clustering of gene expression patterns.

Mukhopadhyay A, Maulik U, Bandyopadhyay S.

IEEE Trans Biomed Eng. 2013 Jan;60(1):35-41. doi: 10.1109/TBME.2012.2220765. Epub 2012 Sep 28.

PMID:
23033427
7.

cluML: A markup language for clustering and cluster validity assessment of microarray data.

Bolshakova N, Cunningham P.

Appl Bioinformatics. 2005;4(3):211-3.

PMID:
16231963
8.

bioNMF: a versatile tool for non-negative matrix factorization in biology.

Pascual-Montano A, Carmona-Saez P, Chagoyen M, Tirado F, Carazo JM, Pascual-Marqui RD.

BMC Bioinformatics. 2006 Jul 28;7:366.

9.

PyMix--the python mixture package--a tool for clustering of heterogeneous biological data.

Georgi B, Costa IG, Schliep A.

BMC Bioinformatics. 2010 Jan 6;11:9. doi: 10.1186/1471-2105-11-9.

10.

SBAL: a practical tool to generate and edit structure-based amino acid sequence alignments.

Wang CK, Broder U, Weeratunga SK, Gasser RB, Loukas A, Hofmann A.

Bioinformatics. 2012 Apr 1;28(7):1026-7. doi: 10.1093/bioinformatics/bts035. Epub 2012 Feb 12.

PMID:
22332239
11.

Weighted rank aggregation of cluster validation measures: a Monte Carlo cross-entropy approach.

Pihur V, Datta S, Datta S.

Bioinformatics. 2007 Jul 1;23(13):1607-15. Epub 2007 May 5.

PMID:
17483500
12.

MetaRoute: fast search for relevant metabolic routes for interactive network navigation and visualization.

Blum T, Kohlbacher O.

Bioinformatics. 2008 Sep 15;24(18):2108-9. doi: 10.1093/bioinformatics/btn360. Epub 2008 Jul 16.

13.

APCluster: an R package for affinity propagation clustering.

Bodenhofer U, Kothmeier A, Hochreiter S.

Bioinformatics. 2011 Sep 1;27(17):2463-4. doi: 10.1093/bioinformatics/btr406. Epub 2011 Jul 6.

PMID:
21737437
14.

Towards clustering of incomplete microarray data without the use of imputation.

Kim DW, Lee KY, Lee KH, Lee D.

Bioinformatics. 2007 Jan 1;23(1):107-13. Epub 2006 Oct 31.

PMID:
17077099
15.

MetaMine--a tool to detect and analyse gene patterns in their environmental context.

Bohnebeck U, Lombardot T, Kottmann R, Glöckner FO.

BMC Bioinformatics. 2008 Oct 28;9:459. doi: 10.1186/1471-2105-9-459.

16.

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
17.

Parallel clustering algorithm for large data sets with applications in bioinformatics.

Olman V, Mao F, Wu H, Xu Y.

IEEE/ACM Trans Comput Biol Bioinform. 2009 Apr-Jun;6(2):344-52. doi: 10.1109/TCBB.2007.70272.

PMID:
19407357
18.

SciRoKo: a new tool for whole genome microsatellite search and investigation.

Kofler R, Schlötterer C, Lelley T.

Bioinformatics. 2007 Jul 1;23(13):1683-5. Epub 2007 Apr 26.

PMID:
17463017
19.

Constraint-based knowledge discovery from SAGE data.

Klémal J, Blachon S, Soulet A, Crémilleux B, Gandrillon O.

In Silico Biol. 2008;8(2):157-75.

PMID:
18928203
20.

MULTI-K: accurate classification of microarray subtypes using ensemble k-means clustering.

Kim EY, Kim SY, Ashlock D, Nam D.

BMC Bioinformatics. 2009 Aug 22;10:260. doi: 10.1186/1471-2105-10-260.

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