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Introduction to Machine Learning and Bioinformatics

By Sujay Datta

Introduction to Machine Learning and Bioinformatics Law

Introduction to Machine Learning and Bioinformatics

Only 1 item left in stock
Description
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.
Product details
Edition:
1
Number of Pages:
386
Release Date:
2008-05-09
Publication Date:
2008-06-05
Publisher:
Chapman and Hall/CRC
Languages:
Original: English
ISBN10:
158488682X
ISBN13:
9781584886822
GPSR Manufacturer Reference:
[email protected]
Weight:
743 g
Height:
161 cm
Width:
240 cm
Thickness:
25 cm

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The items bear minimal signs of past use, such as light scratches or memories in the form of markings. These signs of wear give the items a charming character and tell stories of their previous owners, while not affecting their functionality.
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