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...
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| Main Authors: | , |
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| Format: | article |
| Language: | EN |
| Published: |
Public Library of Science (PLoS)
2021
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| Subjects: | |
| Online Access: | https://doaj.org/article/d704d6a144d74dddba90bf834e8a6246 |
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