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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.

Bibliographic Details
Main Author: Kraikivski, Pavel
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
Machine Learning
Cholera
Developmental Gene Regulatory Networks
Stress Test
Information Theory
Saturated Incidence Rate
Mathematical Models
Pyroptosis
Reversible Code
N/a
Stochastic Biochemical Systems
Levenberg—marquardt Algorithm
Biophysical Modeling
Verification & Validation
Immunogenic Cell Death
Reaction–diffusion Models In Morphogenesis
Gray Map
Ferroptosis
Mathematical Model
In Silico Experimentation
Parameter Subset Selection
Fractional Order
Major Depressive Disorder
Pattern Formation
Asymptotic Stability
Estimability Analysis
Evolutionary Origins
Dna Damage Repair
Mathematical Modeling
Reservoir Computing
Nonlinear Mechanistic Model
Apoptosis
Hpa Axis
Computational Analysis
System Size Expansion
Research & Information: General / Bicssc
Alan Turing
Batch Fermentation
Differential Entropy
Nonlinear Data Fitting
Biology, Life Sciences / Bicssc
Regulatory Networks
Sensitivity Analysis
Liquid State Machine
Kluyveromyces Marxianus
Finite-difference Methods
Differential Equations Model
Delay Differential Equations
Stochastic Simulation Algorithm
Caputo
Numerical Solutions
Heterogeneity
Discrete Entropy
Critical Learning Period
Dna Codes
Optimization Techniques
Death Execution Pathways
Artificial Neural Networks
Radiation-induced Dna Damage
Geometrical Information
Well-posedness
Python
Cell Death
Echo State Network
Necroptosis
Eric Davidson
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
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.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (234 p.)
ISBN:books978-3-0365-9036-3
9783036590363
9783036590370

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