proDA_package: proDA: Identify differentially abundant proteins in...

proDA_packageR Documentation

proDA: Identify differentially abundant proteins in label-free mass spectrometry

Description

Account for missing values in label-free mass spectrometry data without imputation. The package implements a probabilistic dropout model that ensures that the information from observed and missing values are properly combined. It adds empirical Bayesian priors to increase power to detect differentially abundant proteins.


const-ae/proDA documentation built on Oct. 31, 2023, 9:39 p.m.