Information criterion-based clustering with order-restricted candidate profiles in short time-course microarray experiments
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
BMC Bioinformatics 2009, 10:146 doi:10.1186/1471-2105-10-146Published: 15 May 2009
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 . 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 .
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