mooredf22/protlocassign: Estimation of protein distribution from quantitative subcellular fractionation experiments using a constrained proportional assignment model

This package uses a constrained proportional assignment (CPA) model to to estimate the distribution of proteins among different subcellular locations based of analytical subcellular fractionation data. The package includes improve the accuracy of the assignments as well as functions for simulating mixtures and evaluating the performance of CPA on those mixtures. Also included are functions for summarizing spectral-level data using random effects models to calculate average protein profiles.

install.packages("remotes")
remotes::install_github("mooredf22/protlocassign")