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Mathematical Modeling in Systems Biology

The reprint presents a collection of systems biology-related topics and new studies that utilize computational, mathematical, and systems-oriented approaches to reveal important aspects of various biological problems.

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Bibliographic Details
Other Authors:	Kraikivski, Pavel (Editor)
Format:	Electronic Book Chapter
Language:	English
Published:	Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:	Research & information: general Biology, life sciences differential entropy discrete entropy geometrical information heterogeneity information theory cell death apoptosis necroptosis ferroptosis pyroptosis immunogenic cell death regulatory networks death execution pathways mathematical models computational analysis mathematical modeling artificial neural networks numerical solutions delay differential equations optimization techniques machine learning Levenberg-Marquardt algorithm HPA axis Major Depressive Disorder stress test Python Verification & Validation differential equations model reversible code gray map DNA codes mathematical model fractional order Caputo cholera well-posedness saturated incidence rate asymptotic stability batch fermentation in silico experimentation Kluyveromyces marxianus nonlinear data fitting nonlinear mechanistic model reaction-diffusion models in morphogenesis pattern formation developmental gene regulatory networks Alan Turing Eric Davidson evolutionary origins critical learning period liquid state machine reservoir computing echo state network stochastic simulation algorithm stochastic biochemical systems sensitivity analysis finite-difference methods parameter subset selection estimability analysis biophysical modeling radiation-induced DNA damage system size expansion DNA damage repair n/a
Online Access:	DOAB: download the publication DOAB: description of the publication
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Description
Summary:	The reprint presents a collection of systems biology-related topics and new studies that utilize computational, mathematical, and systems-oriented approaches to reveal important aspects of various biological problems.
Physical Description:	1 electronic resource (234 p.)
ISBN:	books978-3-0365-9036-3 9783036590370 9783036590363
Access:	Open Access