Cantitate/Preț
Produs
Total produse
Vezi coșul
Models and Algorithms for Biomolecules and Molecular Networks de Bhaskar Dasgupta

Models and Algorithms for Biomolecules and Molecular Networks

Autor Bhaskar Dasgupta, Jie Liang
en Limba Engleză Hardback – 26 ian 2016
By providing expositions to modeling principles, theories, computational solutions, and open problems, this reference presents a full scope on relevant biological phenomena, modeling frameworks, technical challenges, and algorithms. * Up-to-date developments of structures of biomolecules, systems biology, advanced models, and algorithms * Sampling techniques for estimating evolutionary rates and generating molecular structures * Accurate computation of probability landscape of stochastic networks, solving discrete chemical master equations * End-of-chapter exercises
Citește tot Restrânge

Preț: 69217 lei

Preț vechi: 76063 lei
-9% Nou

Puncte Express: 1038
Preț estimativ în valută:
12250€ • 14316$ • 10635£

Carte tipărită la comandă

Livrare economică 17 februarie-03 martie

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9780470601938
ISBN-10: 0470601930
Pagini: 274
Dimensiuni: 161 x 240 x 19 mm
Greutate: 0.5 kg
Editura: Wiley
Locul publicării:Hoboken, United States

Public țintă

Professional engineers, graduate students, upper undergraduate students, researchers in academia and industry

Notă biografică

Bhaskar DasGupta is an associate professor within the Department of Computer Science at the University of Illinois at Chicago. He is a senior member of IEEE. He has written numerous journal papers. Jie Liang is a professor within the Department of Bioengineering and Computer Science at the University of Illinois at Chicago. He has a Ph.D. in Biophysics. He has received numerous awards for his research. He has served as co-editor for several journal articles.

Descriere

Written by esteemed experts in the field, Models and Algorithms for Biomolecules and Molecular Networks provides readers with a global perspectives on the relevant biological phenomena, modeling frameworks, technical challenges, and algorithms.