Email updates

Keep up to date with the latest news and content from BMC Bioinformatics and BioMed Central.

Open Access Methodology article

Information criterion-based clustering with order-restricted candidate profiles in short time-course microarray experiments

Tianqing Liu1, Nan Lin2, Ningzhong Shi1 and Baoxue Zhang1*

Author Affiliations

1 Key Laboratory for Applied Statistics of MOE and School of Mathematics and Statistics, Northeast Normal University, Changchun, PR China

2 Department of Mathematics, Washington University in St Louis, St Louis, USA

For all author emails, please log on.

BMC Bioinformatics 2009, 10:146  doi:10.1186/1471-2105-10-146

Published: 15 May 2009

Additional files

Additional File 1:

Gene clusters from the ORICC analysis of the breast cancer cell line data. This table presents gene clusters given by the ORICC algorithm using ten candidate inequality profiles for the breast cancer cell line microarray data in [28]. The fourth column gives the rank of the gene according to the filtering criterion (9), and numbers in the parentheses are clustering reliability computed based on 300 bootstrap samples. The last column shows whether the gene was identified by the original analysis in [28].

Format: PDF Size: 25KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data