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Introduction to Machine Learning and Bioinformatics (Computer Science and Data Analysis)
Introduction to Machine Learning and Bioinformatics - Computer Science and Data Analysis
Author:
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 & Bioin... more » 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.
Author:
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 & Bioin... more » 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.
ISBN-13: 9781584886822
ISBN-10: 158488682X
Publication Date: 6/5/2008
Pages: 384
Edition: 1
Rating: ?
ISBN-10: 158488682X
Publication Date: 6/5/2008
Pages: 384
Edition: 1
Rating: ?
0 stars, based on 0 rating
Genres:
- Computers & Technology >> Computer Science >> AI & Machine Learning >> Machine Learning
- Computers & Technology >> Computer Science >> AI & Machine Learning >> Machine Theory
- Reference
- Science & Math >> Biological Sciences >> Biochemistry
- Science & Math >> Biological Sciences >> Biology
- Science & Math >> Biological Sciences >> Bioinformatics
- Science & Math >> Mathematics >> Applied >> Probability & Statistics
- Science & Math >> Mathematics >> Applied >> Statistics
