bioconductor-epimutacions
Robust outlier identification for DNA methylation data
Robust outlier identification for DNA methylation data
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The package includes some statistical outlier detection methods for epimutations detection in DNA methylation data. The methods included in the package are MANOVA, Multivariate linear models, isolation forest, robust mahalanobis distance, quantile and beta. The methods compare a case sample with a suspected disease against a reference panel (composed of healthy individuals) to identify epimutations in the given case sample. It also contains functions to annotate and visualize the identified epimutations.
Summary
Robust outlier identification for DNA methylation data
Last Updated
Jan 5, 2025 at 02:01
License
MIT + file LICENSE
Total Downloads
3.2K
Supported Platforms