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Uncovering cancer gene regulation by accurate regulatory network inference from uninformative data
The interactions among the components of a living cell that constitute the gene regulatory network (GRN) can be inferred from perturbation-based gene expression data. Such networks are useful for providing mechanistic insights of a biological system. In order to explore the feasibility and quality o...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | NPJ Syst Biol Appl |
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| Κύριοι συγγραφείς: | , , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Nature Publishing Group UK
2020
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7652823/ https://ncbi.nlm.nih.gov/pubmed/33168813 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41540-020-00154-6 |
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