Titlebook: Introduction to Mathematics for Computational Biology; Paola Lecca,Bruno Carpentieri Book 2023 The Editor(s) (if applicable) and The Autho

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Network Inference for Drug Discoverya pathology-based approach and towards symptomatic alleviation. The delivery of medications whose targets are implicated in the disease’s causative processes should be made easier with a greater understanding of pathophysiology. The topology and the causal structure of the interactions between the m

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Modelling Chemical Reactionsinistic approach to chemical kinetics is initially discussed, after which the key ideas of stochastic chemical kinetics are examined in-depth, discussed critically, and highlighted in order to emphasize the essential re-formulations to suit the context of biological simulation. In particular, we rev

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Reaction–Diffusion Systemsall the involved species are homogeneous in space. However, experimental measurements of intracellular diffusion constants indicate that the assumption of a homogeneous well-stirred cytosol is not necessarily valid even for small prokaryotic cells. In this chapter, we first present a mathematical de

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Linear Algebra Background using numerical analysis algorithms. Many numerical analysis computations, such as the solution of systems of linear equations and least squares problems, as well as the computation of eigenvalues and singular values of matrices, rely on linear algebra techniques. This chapter is intended to provid

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Regressiont can be used to assess the strength of the relationship between variables and to model the future relationship between them. Regression analysis aims at determining which independent variables have an effect. It provides answers to the following questions: Which factors are most important? Which ca

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