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Prophetic Granger Causality to infer gene regulatory networks
We introduce a novel method called Prophetic Granger Causality (PGC) for inferring gene regulatory networks (GRNs) from protein-level time series data. The method uses an L1-penalized regression adaptation of Granger Causality to model protein levels as a function of time, stimuli, and other perturb...
Shranjeno v:
| izdano v: | PLoS One |
|---|---|
| Main Authors: | , , , , , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Public Library of Science
2017
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5718405/ https://ncbi.nlm.nih.gov/pubmed/29211761 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0170340 |
| Oznake: |
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