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Knowledge-Based Bioinformatics: From Analysis to Interpretation Hardback - 2010 - 1st Edition
by Alterovitz, Gil
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- Hardback
- first
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Details
- Title Knowledge-Based Bioinformatics: From Analysis to Interpretation
- Author Alterovitz, Gil
- Binding Hardback
- Edition number 1st
- Edition 1
- Condition Used: Good
- Pages 400
- Volumes 1
- Language ENG
- Publisher Wiley
- Publication date 2010-08-23
- Illustrated Yes
- Features Bibliography, Illustrated, Index, Table of Contents
- Bookseller's Inventory # SONG0470748311
- ISBN 9780470748312 / 0470748311
- Weight 1.6 lbs (0.73 kg)
- Dimensions 9 x 6.3 x 1 in (22.86 x 16.00 x 2.54 cm)
- Size 6.30x1.05x9.30
- Category Medical / Nursing
- Library of Congress subjects Bioinformatics, Molecular Biology
- Library of Congress Catalogue Number 2010010927
- Dewey Decimal Code 570.285
- Quantity available 1
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From the rear cover
There is an increasing need throughout the biomedical sciences for a greater understanding of knowledge-based systems and their application to genomic and proteomic research. This book discusses knowledge-based and statistical approaches, along with applications in bioinformatics and systems biology. The text emphasizes the integration of different methods for analysing and interpreting biomedical data. This, in turn, can lead to breakthrough biomolecular discoveries, with applications in personalized medicine.
Key Features:
- Explores the fundamentals and applications of knowledge-based and statistical approaches in bioinformatics and systems biology.
- Helps readers to interpret genomic, proteomic, and metabolomic data in understanding complex biological molecules and their interactions.
- Provides useful guidance on dealing with large datasets in knowledge bases, a common issue in bioinformatics.
- Written by leading international experts in this field.
Students, researchers, and industry professionals with a background in biomedical sciences, mathematics, statistics, or computer science will benefit from this book. It will also be useful for readers worldwide who want to master the application of bioinformatics to real-world situations and understand biological problems that motivate algorithms.
Media reviews
Citations
- Reference and Research Bk News, 02/01/2011, Page 264
