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.

install.packages("plmDE")

Try the plmDE package in your browser