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.

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
Version1.13.0
URL https://github.com/YosefLab/ImpulseDE
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("ImpulseDE")

Try the ImpulseDE package in your browser

Any scripts or data that you put into this service are public.

ImpulseDE documentation built on April 28, 2020, 9:05 p.m.