mi4p - Multiple Imputation for Proteomics
A framework for multiple imputation for proteomics is proposed by Marie Chion, Christine Carapito and Frederic Bertrand (2021) <doi:10.1371/journal.pcbi.1010420>. It is dedicated to dealing with multiple imputation for proteomics.
Last updated 4 months ago
4.91 score 6 stars 27 scripts 297 downloads
ProteoBayes - Bayesian Statistical Tools for Quantitative Proteomics
Bayesian toolbox for quantitative proteomics. In particular, this package provides functions to generate synthetic datasets, execute Bayesian differential analysis methods and display results, as described in the associated article Marie Chion and Arthur Leroy (2023) <arXiv:2307.08975>.
Last updated 24 days ago
3.30 score 2 stars 2 scripts 163 downloads