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Smart computational exploration of stochastic gene regulatory network models using human-in-the-loop semi-supervised learning

MOTIVATION: Discrete stochastic models of gene regulatory network models are indispensable tools for biological inquiry since they allow the modeler to predict how molecular interactions give rise to nonlinear system output. Model exploration with the objective of generating qualitative hypotheses a...

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Shranjeno v:
Bibliografske podrobnosti
izdano v:Bioinformatics
Main Authors: Wrede, Fredrik, Hellander, Andreas
Format: Artigo
Jezik:Inglês
Izdano: Oxford University Press 2019
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC6954658/
https://ncbi.nlm.nih.gov/pubmed/31141124
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btz420
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