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Scalable machine learning-assisted model exploration and inference using Sciope

SUMMARY: Discrete stochastic models of gene regulatory networks are fundamental tools for in silico study of stochastic gene regulatory networks. Likelihood-free inference and model exploration are critical applications to study a system using such models. However, the massive computational cost of...

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Detalhes bibliográficos
Publicado no:Bioinformatics
Main Authors: Singh, Prashant, Wrede, Fredrik, Hellander, Andreas
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8055224/
https://ncbi.nlm.nih.gov/pubmed/32706854
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa673
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