GMSimpute: Generalized Mass Spectrum Missing Peaks Abundance Imputation

Two-Step Lasso (TS-Lasso) and compound minimum methods to recover the abundance of missing peaks in mass spectrum analysis. TS-Lasso is an 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.

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Package details

AuthorQian Li [aut, cre]
MaintainerQian Li <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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GMSimpute documentation built on May 1, 2019, 10:13 p.m.