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.

Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("ImpulseDE")
AuthorJil Sander [aut, cre], Nir Yosef [aut]
Bioconductor views Software StatisticalMethod TimeCourse
Date of publicationNone
MaintainerJil Sander <jil.sander@uni-bonn.de>, Nir Yosef <niryosef@berkeley.edu>
LicenseGPL-3
Version1.2.0
https://github.com/YosefLab/ImpulseDE

View on Bioconductor

Files

DESCRIPTION
NAMESPACE
NEWS
R
R/Impulse_DE_fin.R
build
build/vignette.rds
inst
inst/doc
inst/doc/ImpulseDE.R
inst/doc/ImpulseDE.Rmd
inst/doc/ImpulseDE.pdf
man
man/calc_impulse.Rd man/impulse_DE.Rd man/plot_impulse.Rd
vignettes
vignettes/ImpulseDE.Rmd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.