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
Browse package contents
Package details |
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| Author | Jil Sander [aut, cre], Nir Yosef [aut] |
| Bioconductor views | Software StatisticalMethod TimeCourse |
| Maintainer | Jil Sander <jil.sander@uni-bonn.de>, Nir Yosef <niryosef@berkeley.edu> |
| License | GPL-3 |
| Version | 0.99.0 |
| URL | https://github.com/YosefLab/ImpulseDE |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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