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024 7 $a10.1007/978-3-030-73033-8
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035   $a(DE-He213)978-3-030-73033-8
035   $a(MiAaPQ)EBC6621450
035   $a(Au-PeEL)EBL6621450
035   $a(OCoLC)1251505907
035   $a(PPN)255883641
035   $a(iGPub)SPNA0081545
035   $a(EXLCZ)994100000011933480
100   $a20210513d2021      u|         0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aSystems Biology $eModeling, Analysis, and Simulation /$fby Jinzhi Lei
205   $a1st ed. 2021.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021.
215   $a1 online resource (XII, 308 p. 95 illus., 69 illus. in color.)
225 1 $aLecture Notes on Mathematical Modelling in the Life Sciences,$x2193-4797
311 08$a3-030-73032-8 
320   $aIncludes bibliographical references and index.
327   $a1. Biological Background?Information, Energy, and Matter -- 2. Mathematical Preliminary?Continuous Dynamics -- 3. Mathematical Preliminary?Stochastic Modeling -- 4. Stochastic Modeling of Gene Expression -- 5. Mathematical Models for Gene Regulatory Network Dynamics -- 6. Dynamical Modeling of Stem Cell Regeneration -- 7. Mathematical Models of Morphogen Gradients and Growth Control.
330   $aThis book discusses the mathematical simulation of biological systems, with a focus on the modeling of gene expression, gene regulatory networks and stem cell regeneration. The diffusion of morphogens is addressed by introducing various reaction-diffusion equations based on different hypotheses concerning the process of morphogen gradient formation. The robustness of steady-state gradients is also covered through boundary value problems. The introduction gives an overview of the relevant biological concepts (cells, DNA, organism development) and provides the requisite mathematical preliminaries on continuous dynamics and stochastic modeling. A basic understanding of calculus is assumed. The techniques described in this book encompass a wide range of mechanisms, from molecular behavior to population dynamics, and the inclusion of recent developments in the literature together with first-hand results make it an ideal reference for both new students and experienced researchers in the field of systems biology and applied mathematics.
410  0$aLecture Notes on Mathematical Modelling in the Life Sciences,$x2193-4797
606   $aDifferential equations
606   $aStochastic models
606   $aBioinformatics
606   $aBiology
606   $aCytology
606   $aDifferential Equations
606   $aStochastic Modelling
606   $aComputational and Systems Biology
606   $aBiological Sciences
606   $aCell Biology
615  0$aDifferential equations.
615  0$aStochastic models.
615  0$aBioinformatics.
615  0$aBiology.
615  0$aCytology.
615 14$aDifferential Equations.
615 24$aStochastic Modelling.
615 24$aComputational and Systems Biology.
615 24$aBiological Sciences.
615 24$aCell Biology.
676   $a570.15
700   $aLei$b Jinzhi$0847443
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910484496803321
996   $aSystems Biology$91892884
997   $aUNINA