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CRC
Chinese Restaurant Cluster
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CRC 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.
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Download program |
Download the latest version and the source code of CRC. [October, 2006]
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Documentation |
Includes the manual, tutorial and the manuscript describing CRC.
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Supplementary Text |
Sample files used in our study. |
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Gene List |
B. anthracis cluster results. |
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Trace Plots |
B. anthracis cluster patterns. |
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Update & Bug Log |
Log of updates, bugs and fixes. Also has the previous versions of the program |
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Register |
If you use CRC, please register with us. It helps us to send you updates and bug-fixes.
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Web Server |
[NEW] A web based sevrer hosted at He Lab is ready to use, give it a try.
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Contact
For bug report, questions or comments, please contact Steve Qin (qin@umich.edu).
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