£108.80

Springer Modelling in Molecular Biology - Natural Computing

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Description

Understanding the basic building blocks of living systems requires more than just observation. Because molecules and cells are too complex for the human mind to grasp alone, computer-aided modeling becomes a necessity. This book from the Natural Computing Series provides the tools needed to bridge the gap between biological complexity and scientific understanding. Through this text, readers explore how modeling living systems and processes allows for a more complete description of biological phenomena. The authors introduce new mathematical and computational models designed to address fundamental problems in the biosciences. By combining these models with statistical methods, the book offers a structured approach to solving challenges in molecular biology. This resource is essential for those working at the intersection of computer science and biology. It provides the framework for using computational power to decode the complex processes that define life. Whether you are studying AI, machine learning, or biological systems, this work offers the mathematical foundations required to advance your research and understanding of the molecular world.

Key Features

Explores the necessity of computer-aided modeling to understand complex molecules and cells.

Presents new mathematical models designed for solving fundamental problems in the biosciences.

Includes computational models that help bridge the gap between biology and computer science.

Provides statistical methods to assist in the analysis and solution of biological challenges.

Part of the Natural Computing Series, focusing on the intersection of life sciences and technology.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
30 September 2012
Listed Since
06 December 2012

Barcode

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