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PEPN-GRN: A Petri net-based approach for the inference of gene regulatory networks from noisy gene expression data
The inference of gene regulatory networks (GRNs) from expression data is a challenging problem in systems biology. The stochasticity or fluctuations in the biochemical processes that regulate the transcription process poses as one of the major challenges. In this paper, we propose a novel GRN infere...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8121333/ https://www.ncbi.nlm.nih.gov/pubmed/33989333 http://dx.doi.org/10.1371/journal.pone.0251666 |