Mathematical Modeling in Systems Biology

doi:10.3390/books978-3-0365-9036-3

Download Url(s)

https://mdpi.com/books/pdfview/book/8134

Contributor(s)

Kraikivski, Pavel (editor)

Language

English

Show full item record

Abstract

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.

URI

https://directory.doabooks.org/handle/20.500.12854/128672

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; 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