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Название: An Introduction to Computational Systems Biology: Systems-Level Modelling of Cellular Networks
Автор: Karthik Raman
Издательство: Chapman and Hall/CRC
Год: 2021
Страниц: 359
Язык: английский
Формат: pdf (true)
Размер: 25.7 MB
This book delivers a comprehensive and insightful account of applying mathematical modelling approaches to very large biological systems and networks - a fundamental aspect of computational systems biology. The book covers key modelling paradigms in detail, while at the same time retaining a simplicity that will appeal to those from less quantitative fields. The only pre-requisite for this text is a familiarity with a high-level programming language aside from an intellectual curiosity towards how mathematical and computational approaches aid in understanding biology. An engineering mathematics background will be advantageous but not strictly necessary. An Introduction to Computational Systems Biology: Systems-Level Modelling of Cellular Networks is highly multi-disciplinary and will appeal to biologists, engineers, computer scientists, mathematicians and others.
Автор: Karthik Raman
Издательство: Chapman and Hall/CRC
Год: 2021
Страниц: 359
Язык: английский
Формат: pdf (true)
Размер: 25.7 MB
This book delivers a comprehensive and insightful account of applying mathematical modelling approaches to very large biological systems and networks - a fundamental aspect of computational systems biology. The book covers key modelling paradigms in detail, while at the same time retaining a simplicity that will appeal to those from less quantitative fields. The only pre-requisite for this text is a familiarity with a high-level programming language aside from an intellectual curiosity towards how mathematical and computational approaches aid in understanding biology. An engineering mathematics background will be advantageous but not strictly necessary. An Introduction to Computational Systems Biology: Systems-Level Modelling of Cellular Networks is highly multi-disciplinary and will appeal to biologists, engineers, computer scientists, mathematicians and others.