YosefLab/ImpulseDE: Detection of DE genes in time series data using impulse models

ImpulseDE is suited to capture single impulse-like patterns in high throughput time series datasets. By fitting a representative impulse model to each gene, it reports differentially expressed genes whether across time points in a single experiment or between two time courses from two experiments. To optimize the running time, the code makes use of clustering steps and multi-threading.

Getting started

Package details

AuthorJil Sander [aut, cre], Nir Yosef [aut]
Bioconductor views Software StatisticalMethod TimeCourse
MaintainerJil Sander <jil.sander@uni-bonn.de>, Nir Yosef <niryosef@berkeley.edu>
LicenseGPL-3
Version0.99.0
URL https://github.com/YosefLab/ImpulseDE
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("YosefLab/ImpulseDE")
YosefLab/ImpulseDE documentation built on May 10, 2019, 12:07 a.m.