Introduction to Machine Learning and Bioinformatics (PDF)
(Sprache: Englisch)
Examining the connections between these two increasingly intertwined areas, this text presents a unifying, thorough, and accessible introduction to the basic ideas and latest developments in machine learning and bioinformatics. It describes the major...
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Examining the connections between these two increasingly intertwined areas, this text presents a unifying, thorough, and accessible introduction to the basic ideas and latest developments in machine learning and bioinformatics. It describes the major problems in bioinformatics and the concepts and algorithms of machine learning. The authors demonstrate the capabilities of key machine learning techniques, such as hidden Markov models and artificial neural networks, and apply state-of-the-art techniques to bioinformatics problems in structural biology, cancer treatment, and proteomics. They also include exercises at the end of some chapters and offer instructional materials on their website.
Autoren-Porträt von Sushmita Mitra, Sujay Datta, Theodore Perkins, George Michailidis
Mitra, Sushmita; Datta, Sujay; Perkins, Theodore; Michailidis, George
Bibliographische Angaben
- Autoren: Sushmita Mitra , Sujay Datta , Theodore Perkins , George Michailidis
- 2008, 1. Auflage, 384 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1420011782
- ISBN-13: 9781420011784
- Erscheinungsdatum: 05.06.2008
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Größe: 4.10 MB
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Sprache:
Englisch
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