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## try http:// if https:// URLs are not supported
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biocLite("ImpulseDE")

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ImpulseDE

DOI: 10.18129/B9.bioc.ImpulseDE    

Detection of DE genes in time series data using impulse models

Bioconductor version: Release (3.5)

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.

Author: Jil Sander [aut, cre], Nir Yosef [aut]

Maintainer: Jil Sander <jil.sander at uni-bonn.de>, Nir Yosef <niryosef at berkeley.edu>

Citation (from within R, enter citation("ImpulseDE")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("ImpulseDE")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("ImpulseDE")

 

PDF R Script ImpulseDE
PDF   Reference Manual
Text   NEWS

Details

biocViews Software, StatisticalMethod, TimeCourse
Version 1.2.0
In Bioconductor since BioC 3.4 (R-3.3) (1 year)
License GPL-3
Depends graphics, grDevices, stats, utils, parallel, compiler, R (>= 3.2.3)
Imports amap, boot
LinkingTo
Suggests longitudinal, knitr
SystemRequirements
Enhances
URL https://github.com/YosefLab/ImpulseDE
BugReports https://github.com/YosefLab/ImpulseDE/issues
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package ImpulseDE_1.2.0.tar.gz
Windows Binary ImpulseDE_1.2.0.zip
Mac OS X 10.11 (El Capitan) ImpulseDE_1.2.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/ImpulseDE
Package Short Url http://bioconductor.org/packages/ImpulseDE/
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