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Reverse engineering highlights potential principles of large gene regulatory network design and learning
Inferring transcriptional gene regulatory networks from transcriptomic datasets is a key challenge of systems biology, with potential impacts ranging from medicine to agronomy. There are several techniques used presently to experimentally assay transcription factors to target relationships, defining...
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| Publicado no: | NPJ Syst Biol Appl |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5481436/ https://ncbi.nlm.nih.gov/pubmed/28649444 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41540-017-0019-y |
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