Similar articles for PMID: 16945146

Year	Number of Results
2002	1
2003	9
2004	12
2005	16
2006	48
2007	20
2008	15
2009	12
2010	2
2011	3
2012	1
2013	1
2017	1
2018	4
2019	1
2022	2
2023	13
2024	0

1

Methods for evaluating clustering algorithms for gene expression data using a reference set of functional classes.

Datta S, Datta S. Datta S, et al. BMC Bioinformatics. 2006 Aug 31;7:397. doi: 10.1186/1471-2105-7-397. BMC Bioinformatics. 2006. PMID: 16945146 Free PMC article.

2

Evaluation of clustering algorithms for gene expression data.

Datta S, Datta S. Datta S, et al. BMC Bioinformatics. 2006 Dec 12;7 Suppl 4(Suppl 4):S17. doi: 10.1186/1471-2105-7-S4-S17. BMC Bioinformatics. 2006. PMID: 17217509 Free PMC article.

3

Attribute clustering for grouping, selection, and classification of gene expression data.

Au WH, Chan KC, Wong AK, Wang Y. Au WH, et al. IEEE/ACM Trans Comput Biol Bioinform. 2005 Apr-Jun;2(2):83-101. doi: 10.1109/TCBB.2005.17. IEEE/ACM Trans Comput Biol Bioinform. 2005. PMID: 17044174

4

Clustering of gene expression data: performance and similarity analysis.

Yin L, Huang CH, Ni J. Yin L, et al. BMC Bioinformatics. 2006 Dec 12;7 Suppl 4(Suppl 4):S19. doi: 10.1186/1471-2105-7-S4-S19. BMC Bioinformatics. 2006. PMID: 17217511 Free PMC article.

5

Comparisons and validation of statistical clustering techniques for microarray gene expression data.

Datta S, Datta S. Datta S, et al. Bioinformatics. 2003 Mar 1;19(4):459-66. doi: 10.1093/bioinformatics/btg025. Bioinformatics. 2003. PMID: 12611800

6

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

Yu Z, Wong HS, Wang H. Yu Z, et al. Bioinformatics. 2007 Nov 1;23(21):2888-96. doi: 10.1093/bioinformatics/btm463. Epub 2007 Sep 14. Bioinformatics. 2007. PMID: 17872912

7

Knowledge guided analysis of microarray data.

Fang Z, Yang J, Li Y, Luo Q, Liu L. Fang Z, et al. J Biomed Inform. 2006 Aug;39(4):401-11. doi: 10.1016/j.jbi.2005.08.004. Epub 2005 Sep 15. J Biomed Inform. 2006. PMID: 16214421 Free article.

8

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

Pihur V, Datta S, Datta S. Pihur V, et al. Bioinformatics. 2007 Jul 1;23(13):1607-15. doi: 10.1093/bioinformatics/btm158. Epub 2007 May 5. Bioinformatics. 2007. PMID: 17483500

9

Extracting gene expression patterns and identifying co-expressed genes from microarray data reveals biologically responsive processes.

Chou JW, Zhou T, Kaufmann WK, Paules RS, Bushel PR. Chou JW, et al. BMC Bioinformatics. 2007 Nov 2;8:427. doi: 10.1186/1471-2105-8-427. BMC Bioinformatics. 2007. PMID: 17980031 Free PMC article.

10

Divisive Correlation Clustering Algorithm (DCCA) for grouping of genes: detecting varying patterns in expression profiles.

Bhattacharya A, De RK. Bhattacharya A, et al. Bioinformatics. 2008 Jun 1;24(11):1359-66. doi: 10.1093/bioinformatics/btn133. Epub 2008 Apr 10. Bioinformatics. 2008. PMID: 18407922

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