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]|
|Date of publication||None|
|Maintainer||Jil Sander <firstname.lastname@example.org>, Nir Yosef <email@example.com>|