fastspar
Rapid and scalable correlation estimation for compositional data
Rapid and scalable correlation estimation for compositional data
To install this package, run one of the following:
FastSpar is a C++ implementation of the SparCC algorithm which is up to several thousand times faster than the original Python2 release and uses much less memory. The FastSpar implementation provides threading support and a p-value estimator which accounts for the possibility of repetitious data permutations.
Summary
Rapid and scalable correlation estimation for compositional data
Last Updated
Jan 18, 2021 at 20:11
License
GPLv3
Total Downloads
24.4K
Supported Platforms