Elements of Computational Systems Biology - copertina rigida, flessible

EAN (ISBN-13): 9780470180938
ISBN (ISBN-10): 0470180935
Copertina rigida
Anno di pubblicazione: 2010
Editore: Huma M. Lodhi
412 Pagine
Peso: 0,748 kg
Lingua: eng/Englisch

Libro nella banca dati dal 2008-03-30T19:23:26+02:00 (Rome)
Pagina di dettaglio ultima modifica in 2023-06-16T23:56:34+02:00 (Rome)
ISBN/EAN: 0470180935

ISBN - Stili di scrittura alternativi:
0-470-18093-5, 978-0-470-18093-8
Stili di scrittura alternativi e concetti di ricerca simili:
Titolo del libro: computational systems biology, system element, elements

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Dati dell'editore

Autore: Huma M. Lodhi; Stephen H. Muggleton
Titolo: Wiley Series in Bioinformatics; Elements of Computational Systems Biology
Editore: John Wiley & Sons
456 Pagine
Anno di pubblicazione: 2010-03-05
Peso: 0,734 kg
Lingua: Inglese
132,00 € (DE)
No longer receiving updates
164mm x 240mm x 29mm

BB; gebunden; Hardcover, Softcover / Biologie/Sonstiges; DV-gestützte Biologie/Bioinformatik; Mathematics; Life Sciences; Bioinformatik; Bioinformatik u. Computersimulationen in der Biowissenschaften; Computational Biology; Systembiologie; Informatik; Database & Data Warehousing Technologies; Computer Science; Biowissenschaften; Bioinformatics & Computational Biology; Mathematik; Mathematik in der Biologie; Datenbanken u. Data Warehousing; Mathematik in der Biologie; Bioinformatik u. Computersimulationen in der Biowissenschaften; Datenbanken u. Data Warehousing

Groundbreaking, long-ranging research in this emergent field that enables solutions to complex biological problems Computational systems biology is an emerging discipline that is evolving quickly due to recent advances in biology such as genome sequencing, high-throughput technologies, and the recent development of sophisticated computational methodologies. Elements of Computational Systems Biology is a comprehensive reference covering the computational frameworks and techniques needed to help research scientists and professionals in computer science, biology, chemistry, pharmaceutical science, and physics solve complex biological problems. Written by leading experts in the field, this practical resource gives detailed descriptions of core subjects, including biological network modeling, analysis, and inference; presents a measured introduction to foundational topics like genomics; and describes state-of-the-art software tools for systems biology. * Offers a coordinated integrated systems view of defining and applying computational and mathematical tools and methods to solving problems in systems biology * Chapters provide a multidisciplinary approach and range from analysis, modeling, prediction, reasoning, inference, and exploration of biological systems to the implications of computational systems biology on drug design and medicine * Helps reduce the gap between mathematics and biology by presenting chapters on mathematical models of biological systems * Establishes solutions in computer science, biology, chemistry, and physics by presenting an in-depth description of computational methodologies for systems biology Elements of Computational Systems Biology is intended for academic/industry researchers and scientists in computer science, biology, mathematics, chemistry, physics, biotechnology, and pharmaceutical science. It is also accessible to undergraduate and graduate students in machine learning, data mining, bioinformatics, computational biology, and systems biology courses.