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Generation of Realistic Gene Regulatory Networks by Enriching for Feed-Forward Loops
The regulatory relationships between genes and proteins in a cell form a gene regulatory network (GRN) that controls the cellular response to changes in the environment. A number of inference methods to reverse engineer the original GRN from large-scale expression data have recently been developed....
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8872634/ https://www.ncbi.nlm.nih.gov/pubmed/35222536 http://dx.doi.org/10.3389/fgene.2022.815692 |