KelseyChetnik/MetaClean: Detection of Low-Quality Peaks in Untargeted Metabolomics Data

Utilizes 11 peak quality metrics and 8 diverse machine learning algorithms to build a classifier for the automatic assessment of peak integration quality of peaks from untargeted metabolomics analyses. The 11 peak quality metrics were adapted from those defined in the following references: Zhang, W., & Zhao, P.X. (2014) <doi:10.1186/1471-2105-15-S11-S5> Toghi Eshghi, S., Auger, P., & Mathews, W.R. (2018) <doi:10.1186/s12014-018-9209-x>.

Getting started

Package details

AuthorKelsey Chetnik
Bioconductor views S4Vectors
MaintainerKelsey Chetnik <>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
KelseyChetnik/MetaClean documentation built on May 17, 2021, 5:33 a.m.