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.
Details
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.
Author(s)
Yi-Hui Zhou
Maintainer: Yi-Hui Zhou <yihui_zhou@ncsu.edu>
References
Yi-Hui Zhou, Fred Wright, 2013, Fast And Robust Association Testing For High-Throughput Testing, Submitted.