A method for estimating Hill function-based dynamic models of gene regulatory networks

Gene regulatory networks (GRNs) are quite large and complex. To better understand and analyse GRNs, mathematical models are being employed. Different types of models, such as logical, continuous and stochastic models, can be used to describe GRNs. In this paper, we present a new approach to identify...

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Bibliographic Details
Main Authors: Faizan Ehsan Elahi, Ammar Hasan
Format: Article
Language:English
Published: The Royal Society 2018-01-01
Series:Royal Society Open Science
Subjects:
Online Access:https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.171226