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.
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5.09 score 7 stars 35 scripts 249 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 (2025) <arXiv:2307.08975>.
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4.00 score 3 stars 11 scripts 192 downloads