Format
Sort by

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 655

1.

A dynamically growing self-organizing tree (DGSOT) for hierarchical clustering gene expression profiles.

Luo F, Khan L, Bastani F, Yen IL, Zhou J.

Bioinformatics. 2004 Nov 1;20(16):2605-17. Epub 2004 May 6.

2.

A method for clustering gene expression data based on graph structure.

Seno S, Teramoto R, Takenaka Y, Matsuda H.

Genome Inform. 2004;15(2):151-60.

PMID:
15706501
3.

A hierarchical unsupervised growing neural network for clustering gene expression patterns.

Herrero J, Valencia A, Dopazo J.

Bioinformatics. 2001 Feb;17(2):126-36.

4.

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.

5.

K-ary clustering with optimal leaf ordering for gene expression data.

Bar-Joseph Z, Demaine ED, Gifford DK, Srebro N, Hamel AM, Jaakkola TS.

Bioinformatics. 2003 Jun 12;19(9):1070-8.

6.

Robust multi-scale clustering of large DNA microarray datasets with the consensus algorithm.

Grotkjaer T, Winther O, Regenberg B, Nielsen J, Hansen LK.

Bioinformatics. 2006 Jan 1;22(1):58-67. Epub 2005 Oct 27.

7.

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.

8.

A new algorithm for comparing and visualizing relationships between hierarchical and flat gene expression data clusterings.

Torrente A, Kapushesky M, Brazma A.

Bioinformatics. 2005 Nov 1;21(21):3993-9. Epub 2005 Sep 1.

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. Epub 2007 Sep 14.

11.
12.

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.

13.
14.

Clustering of change patterns using Fourier coefficients.

Kim J, Kim H.

Bioinformatics. 2008 Jan 15;24(2):184-91. Epub 2007 Nov 19.

15.
16.

Investigation of self-organizing oscillator networks for use in clustering microarray data.

Salem SA, Jack LB, Nandi AK.

IEEE Trans Nanobioscience. 2008 Mar;7(1):65-79. doi: 10.1109/TNB.2008.2000151.

PMID:
18334457
17.

Kernel hierarchical gene clustering from microarray expression data.

Qin J, Lewis DP, Noble WS.

Bioinformatics. 2003 Nov 1;19(16):2097-104.

18.

Cluster analysis of gene expression data based on self-splitting and merging competitive learning.

Wu S, Liew AW, Yan H, Yang M.

IEEE Trans Inf Technol Biomed. 2004 Mar;8(1):5-15.

PMID:
15055797
19.

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.

20.

Hierarchical tree snipping: clustering guided by prior knowledge.

Dotan-Cohen D, Melkman AA, Kasif S.

Bioinformatics. 2007 Dec 15;23(24):3335-42. Epub 2007 Nov 7.

Items per page

Supplemental Content

Write to the Help Desk