Online Public Access Catalogue (OPAC)
Central Library - Vidyasagar University

“Education does not only mean learning, reading, writing, and arithmetic,

it should provide a comprehensive knowledge”

-Ishwarchandra Vidyasagar


Normal view MARC view ISBD view

Machine Learning Approaches to Bioinformatics [ electronic resource ] / by Zheng Rong Yang.

By: Yang, Zheng Rong.
Material type: TextTextPublisher: World Scientific Publishing Co Pte Ltd, 2010ISBN: 9789814466783 ( e-book ).Subject(s): Life Sciences | BiologyGenre/Form: Electronic booksOnline resources: https://www.worldscientific.com/worldscibooks/10.1142/7454 View to click Summary: This book covers a wide range of subjects in applying machine learning approaches for bioinformatics projects. The book succeeds on two key unique features. First, it introduces the most widely used machine learning approaches in bioinformatics and discusses, with evaluations from real case studies, how they are used in individual bioinformatics projects. Second, it introduces state-of-the-art bioinformatics research methods. The theoretical parts and the practical parts are well integrated for readers to follow the existing procedures in individual research. Unlike most of the bioinformatics books on the market, the content coverage is not limited to just one subject. A broad spectrum of relevant topics in bioinformatics including systematic data mining and computational systems biology researches are brought together in this book, thereby offering an efficient and convenient platform for teaching purposes. An essential reference for both final year undergraduates and graduate students in universities, as well as a comprehensive handbook for new researchers, this book will also serve as a practical guide for software development in relevant bioinformatics projects.
Tags from this library: No tags from this library for this title. Log in to add tags.
    average rating: 0.0 (0 votes)
Item type Current location Call number Status Date due Barcode
E-Book E-Book WWW
Available EB601

This book covers a wide range of subjects in applying machine learning approaches for bioinformatics projects. The book succeeds on two key unique features. First, it introduces the most widely used machine learning approaches in bioinformatics and discusses, with evaluations from real case studies, how they are used in individual bioinformatics projects. Second, it introduces state-of-the-art bioinformatics research methods. The theoretical parts and the practical parts are well integrated for readers to follow the existing procedures in individual research.

Unlike most of the bioinformatics books on the market, the content coverage is not limited to just one subject. A broad spectrum of relevant topics in bioinformatics including systematic data mining and computational systems biology researches are brought together in this book, thereby offering an efficient and convenient platform for teaching purposes.

An essential reference for both final year undergraduates and graduate students in universities, as well as a comprehensive handbook for new researchers, this book will also serve as a practical guide for software development in relevant bioinformatics projects.

There are no comments for this item.

Log in to your account to post a comment.

Powered by Koha