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.

Sander, J., Schultze, J. L. & Yosef, N. ImpulseDE: detection of differentially expressed genes in time series data using impulse models.Bioinformatics 33, 757–759 (2017).

Sander J and Yosef N (2016). ImpulseDE: Detection of DE genes in time series data using impulse models. R package version 1.4.0, https://github.com/YosefLab/ImpulseDE.