qianli10000/GMSimpute: Generalized Mass Spectrum Missing Peaks Abundance Imputation

GMSimpute implements the Two-Step Lasso (TS-Lasso) and compound minimum to recover the abundance of missing peaks in mass spectrum analysis. TS-Lasso is a label-free imputation method that handles various types of missing peaks simultaneously. This package provides the procedure to generate missing peaks (or data) for simulation study, as well as a tool to estimate and visualize the proportion of missing at random.

install.packages("remotes")
remotes::install_github("qianli10000/GMSimpute")