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books
| book details |
Introduction to Machine Learning and Bioinformatics
By (author) Sushmita Mitra, By (author) Sujay Datta, By (author) Theodore Perkins, By (author) George Michailidis
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| on special |
normal price: R 2 948.95
Price: R 2 801.95
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| book 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 |
Normally shipped |
Publisher | Taylor & Francis Ltd
Published date | 19 Sep 2019
Language |
Format | Paperback / softback
Pages | 384
Dimensions | 234 x 156 x 0mm (L x W x H)
Weight | 453g
ISBN | 978-0-3673-8723-5
Readership Age |
BISAC | business & economics / statistics
| other options |
Normally shipped |
Readership Age |
Normal Price | R 3 460.95
Price | R 3 287.95
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Mason Coile
Paperback / softback
224 pages
was: R 520.95
now: R 468.95
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A terrifying locked-room mystery set in a remote outpost on Mars.
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An epic love story with the pulse of a thriller that asks: what would you risk for a second chance at first love?
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