Reprint
Mathematical Modeling in Systems Biology
Edited by
October 2023
234 pages
- ISBN978-3-0365-9037-0 (Hardback)
- ISBN978-3-0365-9036-3 (PDF)
This book is a reprint of the Special Issue Mathematical Modeling in Systems Biology that was published in
Chemistry & Materials Science
Computer Science & Mathematics
Physical Sciences
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.
Format
- Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
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; machine learning; 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