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]|
|Bioconductor views||Software StatisticalMethod TimeCourse|
|Maintainer||Jil Sander <[email protected]>, Nir Yosef <[email protected]>|
|Package repository||View on GitHub|
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