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dynGENIE3: dynamical GENIE3 for the inference of gene networks from time series expression data
The elucidation of gene regulatory networks is one of the major challenges of systems biology. Measurements about genes that are exploited by network inference methods are typically available either in the form of steady-state expression vectors or time series expression data. In our previous work,...
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| Veröffentlicht in: | Sci Rep |
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| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Publishing Group UK
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5821733/ https://ncbi.nlm.nih.gov/pubmed/29467401 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-21715-0 |
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