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Items: 1 to 20 of 91

1.

Partitioning biological data with transitivity clustering.

Wittkop T, Emig D, Lange S, Rahmann S, Albrecht M, Morris JH, Böcker S, Stoye J, Baumbach J.

Nat Methods. 2010 Jun;7(6):419-20. doi: 10.1038/nmeth0610-419. No abstract available.

PMID:
20508635
2.

Comprehensive cluster analysis with Transitivity Clustering.

Wittkop T, Emig D, Truss A, Albrecht M, Böcker S, Baumbach J.

Nat Protoc. 2011 Mar;6(3):285-95. doi: 10.1038/nprot.2010.197. Epub 2011 Feb 10.

PMID:
21372810
3.

Clustering microarray data.

Gollub J, Sherlock G.

Methods Enzymol. 2006;411:194-213. Review.

PMID:
16939791
4.

Profiling local optima in K-means clustering: developing a diagnostic technique.

Steinley D.

Psychol Methods. 2006 Jun;11(2):178-92.

PMID:
16784337
5.

Identifying clusters in genomics data by recursive partitioning.

Nilsen G, Borgan O, Liestøl K, Lingjærde OC.

Stat Appl Genet Mol Biol. 2013 Oct 1;12(5):637-52. doi: 10.1515/sagmb-2013-0016.

PMID:
23942354
7.

Analysis of large-scale gene expression data.

Sherlock G.

Curr Opin Immunol. 2000 Apr;12(2):201-5. Review.

PMID:
10712947
8.

A hybrid approach to clustering biomedical data.

Thayer JF.

Biomed Sci Instrum. 1996;32:39-46.

PMID:
8672688
9.

Multilevel functional clustering analysis.

Serban N, Jiang H.

Biometrics. 2012 Sep;68(3):805-14. doi: 10.1111/j.1541-0420.2011.01714.x. Epub 2012 Feb 7.

PMID:
22313290
10.

A new approach of data clustering using a flock of agents.

Picarougne F, Azzag H, Venturini G, Guinot C.

Evol Comput. 2007 Fall;15(3):345-67.

PMID:
17705782
11.

Hausdorff clustering.

Basalto N, Bellotti R, De Carlo F, Facchi P, Pantaleo E, Pascazio S.

Phys Rev E Stat Nonlin Soft Matter Phys. 2008 Oct;78(4 Pt 2):046112. Epub 2008 Oct 28.

PMID:
18999498
12.

Advances in clustering and visualization of time series using GTM through time.

Olier I, Vellido A.

Neural Netw. 2008 Sep;21(7):904-13. doi: 10.1016/j.neunet.2008.05.013. Epub 2008 Jun 14.

PMID:
18653311
13.

Minimum spanning trees for gene expression data clustering.

Xu Y, Olman V, Xu D.

Genome Inform. 2001;12:24-33.

PMID:
11791221
14.

Unfolding preprocessing for meaningful time series clustering.

Simon G, Lee JA, Verleysen M.

Neural Netw. 2006 Jul-Aug;19(6-7):877-88. Epub 2006 Jul 3.

PMID:
16815672
15.

How does gene expression clustering work?

D'haeseleer P.

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

PMID:
16333293
16.

Model selection for minimum-diameter partitioning.

Brusco MJ, Steinley D.

Br J Math Stat Psychol. 2014 Nov;67(3):471-95. doi: 10.1111/bmsp.12029. Epub 2013 Nov 6.

PMID:
24192201
17.

Theory of neutral clustering for growing populations.

Houchmandzadeh B.

Phys Rev E Stat Nonlin Soft Matter Phys. 2009 Nov;80(5 Pt 1):051920. Epub 2009 Nov 24.

18.

Network transitivity and matrix models.

Burda Z, Jurkiewicz J, Krzywicki A.

Phys Rev E Stat Nonlin Soft Matter Phys. 2004 Feb;69(2 Pt 2):026106. Epub 2004 Feb 20.

PMID:
14995519
19.

Disease models implicit in statistical tests of disease clustering.

Waller LA, Jacquez GM.

Epidemiology. 1995 Nov;6(6):584-90.

PMID:
8589088
20.

Cluster significance testing using the bootstrap.

Auffermann WF, Ngan SC, Hu X.

Neuroimage. 2002 Oct;17(2):583-91.

PMID:
12377136

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