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This package is for version 3.4 of Bioconductor;
for the stable, up-to-date release version, see
ImpulseDE.
Detection of DE genes in time series data using impulse models
Bioconductor version: 3.4
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")
Details
| biocViews | Software, StatisticalMethod, TimeCourse |
| Version | 1.0.0 |
| In Bioconductor since | BioC 3.4 (R-3.3) (0.5 years) |
| License | GPL-3 |
| Depends | graphics, grDevices, stats, utils, parallel, compiler, R (>= 3.2.3) |
| Imports | amap, boot |
| LinkingTo | |
| Suggests | longitudinal, knitr |
| SystemRequirements | |
| Enhances | |
| URL | github.com/YosefLab/ImpulseDE |
| BugReports | github.com/YosefLab/ImpulseDE/issues |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
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Installation instructions to use this
package in your R session.
Read more here: Source link
