On a resampling approach for tests on the number of clusters with mixture model-based clustering of tissue samples |
| |
Authors: | GJ McLachlan N Khan |
| |
Institution: | a Department of Mathematics, University of Queensland, St. Lucia, Queensland, Brisbane 4072, Australia b Institute for Molecular BioScience, University of Queensland, St. Lucia, Queensland, Brisbane 4072, Australia |
| |
Abstract: | We consider the problem of assessing the number of clusters in a limited number of tissue samples containing gene expressions for possibly several thousands of genes. It is proposed to use a normal mixture model-based approach to the clustering of the tissue samples. One advantage of this approach is that the question on the number of clusters in the data can be formulated in terms of a test on the smallest number of components in the mixture model compatible with the data. This test can be carried out on the basis of the likelihood ratio test statistic, using resampling to assess its null distribution. The effectiveness of this approach is demonstrated on simulated data and on some microarray datasets, as considered previously in the bioinformatics literature. |
| |
Keywords: | 65C60 |
本文献已被 ScienceDirect 等数据库收录! |
|