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
Package details |
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Author | Jan Walach |
Maintainer | Jan Walach <walach.jan@gmail.com> |
License | GNU General Public License v3.0 |
Version | 1.0.2 |
Package repository | View on GitHub |
Installation |
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