iPVs
iPVs, identification of principal variables: The iPVs R package is designed to aid users with with the identification of representative (or independent) principal variables in an inter-correlated data set and to provide an estimation of the number of "independent" features (Me) to aid in deriving an appropriate Bonferroni corrected p-value for a study.
Maintainer(s): David A Hughes
contact: d.a.hughes[at]bristol.ac.uk
Collaborator(s): Laura Corbin
Software URL: https://github.com/hughesevoanth/iPVs
Source code: https://github.com/hughesevoanth/iPVs
Open source license: MIT
Tags:
- Analytical and/or data processing pipeline
- Early prototype
- MIT
- R
- metabolomics
- microbiomics
- proteomics
Point of development: Early prototype