Description Details Author(s) References
MCC is a method which can measure association between rows of a matrix with a single response vector. The method uses a parametric approximation to permutation of the correlation coefficient. It is very accurate, often to p-values of 10^{-8} or smaller.
Package: | MCC |
Type: | Package |
Version: | 1.0 |
Date: | 2014-04-27 |
License: | GPL (>= 2) |
Please prepare a matrix format of the data, with each row representing the feature and each column for each sample. Please also prepare the clinical response/phenotype in a vector format.
Yi-Hui Zhou
Maintainer: Yi-Hui Zhou <yihui_zhou@ncsu.edu>
Yi-Hui Zhou, Fred Wright, 2013, Fast And Robust Association Testing For High-Throughput Testing, Submitted.
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