Biological Data Mining
Published on 1. September 2009
733 pages
978-1-040-20680-5 (ISBN)
Description
Like a data-guzzling turbo engine, advanced data mining has been powering post-genome biological studies for two decades. Reflecting this growth, Biological Data Mining presents comprehensive data mining concepts, theories, and applications in current biological and medical research. Each chapter is written by a distinguished team of interdisciplin
Reviews / Votes
The book will be useful to those interested in applying data mining to biology. Specialists in interdisciplinary areas will also find the book helpful. Despite the diversity of the topics presented, the editors manage to maintain homogeneity throughout the book. I recommend this book as a valuable resource on biological data mining. The chapters offer a wealth of useful information ...-Computing Reviews, January 2011
... Chen and Lonardi present in this book a showcase of successful recent projects in the research area where biology, computer science, and statistics intersect. The editors have done a good job of pulling together the work of over 80 authors into a well-typeset product with high-resolution graphics and even several diagrams of proteins. ... The authors leave no stone unturned in terms of topics and techniques. ... There is a veritable alphabet soup of special software employed ... there is something for everyone with an interest in bioinformatics in this book. Make sure your library has a copy, or that you buy one for yourselves.
-International Statistical Review (2010), 78, 3
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
File size
5,06 MB
ISBN-13
978-1-040-20680-5 (9781040206805)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Jake Y. Chen | Stefano Lonardi
Biological Data Mining
Book
06/2017
1st Edition
CRC Press
€120.40
Shipment within 10-20 days
Jake Y. Chen | Stefano Lonardi
Biological Data Mining
Book
09/2009
1st Edition
Chapman & Hall/CRC
€297.12
Shipment within 15-20 days
Persons
Jake Y. Chen is an assistant professor of informatics at Indiana University, an assistant professor of computer science at Purdue University, and director of the Indiana Center for Systems Biology and Personalized Medicine.
Stefano Lonardi is an associate professor of computer science and engineering at the University of California, Riverside.
Stefano Lonardi is an associate professor of computer science and engineering at the University of California, Riverside.
Content
Sequence, Structure, and Function. Genomics, Transcriptomics, and Proteomics. Functional and Molecular Interaction Networks. Literature, Ontology, and Knowledge Integration. Genome Medicine Applications.
