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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 datase...
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| Veröffentlicht in: | Bioinformatics |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Oxford University Press
2017
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5859984/ https://ncbi.nlm.nih.gov/pubmed/27797772 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btw665 |
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