General Information
| Description | Detection of differentially expressed genes in time series data using impulse models |
| Homepage | https://bioconductor.org/packages/ImpulseDE/ |
Publications
ImpulseDE: detection of differentially expressed genes in time series data using impulse models
Summary:
Perturbations in the environment lead to distinctive gene expression changes within a cell. Observed over time, those variations can be characterized by single impulse-like progression patterns. ImpulseDE is an R package suited to capture these patterns in high throughput time series datasets. By fitting a representative impulse model to each gene, it reports differentially expressed genes across time points from a single or between two time courses from two experiments. To optimize running time, the code uses clustering and multi-threading. By applying ImpulseDE, we demonstrate its power to represent underlying biology of gene expression in microarray and RNA-Seq data.
Availability and Implementation:
ImpulseDE is available on Bioconductor (https://bioconductor.org/packages/ImpulseDE/).
Contact:
niryosef@berkeley.edu
Supplementary information:
Supplementary data are available at Bioinformatics online.
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