plmDE: Additive partially linear models for differential gene expression analysis

A set of tools for identifying genes whose differential expression is associated with measurements of other covariates on a continuous scale. These methods rely on generalized additive partially linear models which can be fitted efficiently using a B-spline basis approximation. Still under development: methods for interfacing with objects extending the eSet class and a function to pass linear models in edgeR and DEseq format.

Package details

AuthorJonas Mueller
MaintainerJonas <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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plmDE documentation built on May 29, 2017, 6:37 p.m.