walachja/cellrPLR: Cellwise Outlier Diagnostics Using Robust Pairwise Log-Ratios (cell-rPLR)

An algorithm called cell-rPLR for the identification of outliers in single cells of a data matrix is proposed. The algorithm is designed for metabolomic data, where due to the size effect the measured values are not directly comparable. Pairwise log-ratios between the variable values form the elemental information for the algorithm, and the aggregation of appropriate weights results in outlyingness information. A further feature of cell-rPLR is that it is useful for biomarker identification, particularly in presence of cellwise outliers. Package is based on paper: 'Cellwise outlier detection and biomarker identification in metabolomics based on pairwise log-ratios', Walach J., Filzmoser P., Kouril S., Submitted

Getting started

Package details

AuthorJan Walach
MaintainerJan Walach <[email protected]>
LicenseGNU General Public License v3.0
Version1.0.2
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("walachja/cellrPLR")
walachja/cellrPLR documentation built on May 22, 2019, 2:47 p.m.