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Probabilistic edge inference of gene networks with markov random field-based bayesian learning
Current algorithms for gene regulatory network construction based on Gaussian graphical models focuses on the deterministic decision of whether an edge exists. Both the probabilistic inference of edge existence and the relative strength of edges are often overlooked, either because the computational...
| 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/PMC9684306/ https://www.ncbi.nlm.nih.gov/pubmed/36437931 http://dx.doi.org/10.3389/fgene.2022.1034946 |