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Items: 1 to 20 of 224

1.

Ranked Adjusted Rand: integrating distance and partition information in a measure of clustering agreement.

Pinto FR, Carriço JA, Ramirez M, Almeida JS.

BMC Bioinformatics. 2007 Feb 7;8:44.

2.
4.

Combining multiple clusterings using evidence accumulation.

Fred AL, Jain AK.

IEEE Trans Pattern Anal Mach Intell. 2005 Jun;27(6):835-50.

PMID:
15943417
5.

A new distance measure for model-based sequence clustering.

García-García D, Parrado Hernández E, Díaz-de María F.

IEEE Trans Pattern Anal Mach Intell. 2009 Jul;31(7):1325-31. doi: 10.1109/TPAMI.2008.268.

PMID:
19443928
6.

Annotation-based distance measures for patient subgroup discovery in clinical microarray studies.

Lottaz C, Toedling J, Spang R.

Bioinformatics. 2007 Sep 1;23(17):2256-64. Epub 2007 Jun 22.

PMID:
17586546
7.

FINE: fisher information nonparametric embedding.

Carter KM, Raich R, Finn WG, Hero AO 3rd.

IEEE Trans Pattern Anal Mach Intell. 2009 Nov;31(11):2093-8. doi: 10.1109/TPAMI.2009.67.

PMID:
19762935
8.

Stochastic clustering for organizing distributed information sources.

Shyu ML, Chen SC, Rubin SH.

IEEE Trans Syst Man Cybern B Cybern. 2004 Oct;34(5):2035-47.

PMID:
15503499
9.

Enhancing instance-based classification with local density: a new algorithm for classifying unbalanced biomedical data.

Plant C, Böhm C, Tilg B, Baumgartner C.

Bioinformatics. 2006 Apr 15;22(8):981-8. Epub 2006 Jan 27.

PMID:
16443633
10.

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. Epub 2007 Feb 18.

PMID:
17308340
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.

Message Passing Clustering (MPC): a knowledge-based framework for clustering under biological constraints.

Geng H, Deng X, Ali HH.

Int J Data Min Bioinform. 2008;2(2):95-120.

PMID:
18767349
13.

A novel approach for discovering overlapping clusters in gene expression data.

Ma PC, Chan KC.

IEEE Trans Biomed Eng. 2009 Jul;56(7):1803-9. doi: 10.1109/TBME.2009.2015055. Epub 2009 Feb 20.

PMID:
19237334
14.

Local dimensionality reduction and supervised learning within natural clusters for biomedical data analysis.

Pechenizkiy M, Tsymbal A, Puuronen S.

IEEE Trans Inf Technol Biomed. 2006 Jul;10(3):533-9.

PMID:
16871722
15.

A meta-data based method for DNA microarray imputation.

Jörnsten R, Ouyang M, Wang HY.

BMC Bioinformatics. 2007 Mar 29;8:109.

16.

Unsupervised feature selection under perturbations: meeting the challenges of biological data.

Varshavsky R, Gottlieb A, Horn D, Linial M.

Bioinformatics. 2007 Dec 15;23(24):3343-9. Epub 2007 Nov 7.

PMID:
17989091
17.

Cumulative voting consensus method for partitions with variable number of clusters.

Ayad HG, Kamel MS.

IEEE Trans Pattern Anal Mach Intell. 2008 Jan;30(1):160-73.

PMID:
18000332
18.

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
19.

Fuzzy ensemble clustering based on random projections for DNA microarray data analysis.

Avogadri R, Valentini G.

Artif Intell Med. 2009 Feb-Mar;45(2-3):173-83. doi: 10.1016/j.artmed.2008.07.014. Epub 2008 Sep 17.

PMID:
18801650
20.

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

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