INTRODUCTION TO MACHINE LEARNING AND BIOINFORMATICS

MITRA SUSHMITA, ET AL

ISBN 10: 158488682X / ISBN 13: 9781584886822

Published by Chapman and Hall/CRC, 2008

About this Item

Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

Seller Inventory # ABNR-237445

Bibliographic Details

• Title: INTRODUCTION TO MACHINE LEARNING AND BIOINFORMATICS
• Publisher: Chapman and Hall/CRC
• Publication Date: 2008
• Language: English
• ISBN 10: 158488682X
• ISBN 13: 9781584886822
• Binding: Soft cover
• Edition: International Edition
• Condition: New

About this title

Synopsis

Lucidly Integrates Current Activities

Focusing on both fundamentals and recent advances, Introduction to Machine Learning and Bioinformatics presents an informative and accessible account of the ways in which these two increasingly intertwined areas relate to each other.

Examines Connections between Machine Learning & Bioinformatics

The book begins with a brief historical overview of the technological developments in biology. It then describes the main problems in bioinformatics and the fundamental concepts and algorithms of machine learning. After forming this foundation, the authors explore how machine learning techniques apply to bioinformatics problems, such as electron density map interpretation, biclustering, DNA sequence analysis, and tumor classification. They also include exercises at the end of some chapters and offer supplementary materials on their website.

Explores How Machine Learning Techniques Can Help Solve Bioinformatics Problems

Shedding light on aspects of both machine learning and bioinformatics, this text shows how the innovative tools and techniques of machine learning help extract knowledge from the deluge of information produced by today’s biological experiments.

About the Author

Mitra, Sushmita; Datta, Sujay; Perkins, Theodore; Michailidis, George