Sep 292011
 

CRC 1.1

:: DESCRIPTION

CRC (Chinese Restaurant Cluster) implements a model-based Bayesian clustering algorithm. The cluster assignment procedure can be regarded as following a iterative Chinese restaurant process. This program is designed to cluster microarray gene expression data collected from multiple experiments. missing data is allowed. The program is written in C++, and can be run under Linux, Unix, Windows, MAC OSX operating system as a command line exexutable. CRC has the following features comparing to other clustering tools: 1) able to infer number of clusters, 2) able to cluster genes displaying time-shifted and/or inverted correlations, 3) able to tolerate missing genotype data and 4) provide confidence measure for clusters generated. Here is some more details on why you should try CRC for your microarray data analysis.

CRC Online Version

::DEVELOPER

Steve Qin @ the Center for Statistical Genetics

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux /  Windows / MacOsX

:: DOWNLOAD

 CRC

:: MORE INFORMATION

Citation

Qin ZS.
Clustering microarray gene expression data using weighted Chinese restaurant process.
Bioinformatics. 2006 Aug 15;22(16):1988-97. Epub 2006 Jun 9.

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