£98.99

De Gruyter Network-based Molecular Biology: Data-driven Modeling and Analysis (De Gruyter Series in Mathematics and Life Sciences, 3)

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Description

This book provides a comprehensive coverage of problems and solutions for integrating high-throughput experimental data with structured biological knowledge. It includes details of classical and novel graph-theoretic and statistical/probabilistic approaches allowing not only an adequate study of complex molecular networks, but also the possibility to posit and test biologically meaningful hypotheses. The text offers a comprehensive coverage of topics related to integration of data with structured knowledge in depth sufficient for carrying out independent network-based research in computational/systems biology and bioinformatics. The work is a suitable textbook for graduate students in bioinformatics, molecular biology, computational and systems biology, as well as a reference for researchers using network-based solutions for biological problems. The emphasis on network comparison and alignment and integration of high-throughput data with structured biological knowledge renders the book a timely addition to this rapidly growing research fields. This book can also be used as a supplementary text in applied mathematics with emphasis on graph theory, statistics, computer science, and machine learning.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
15 January 2016
Listed Since
11 June 2013

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