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 & Bio

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Yes, you can access Introduction to Machine Learning and Bioinformatics by Sushmita Mitra, Sujay Datta, Theodore Perkins, George Michailidis in PDF and/or ePUB format, as well as other popular books in Economics & Statistics for Business & Economics. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Chapman and Hall/CRC

Year

2008

ISBN

9781420011784

Edition

Topic

Economics

Subtopic

Statistics for Business & Economics

Index

Economics

Front cover
Preface
Appreciation
Contents
Chapter 1. Introduction
Chapter 2. The Biology of a Living Organism
Chapter 3. Probabilistic and Model-Based Learning
Chapter 4. Classification Techniques
Chapteer 5. Unsupervised Learning Techniques
Chapter 6. Computational Intelligence in Bioinformatics
Chapter 7. Connections between Machine Learning and Bioinformatics
Chapter 8. Machine Learning in Structural Biology: Interpreting 3D Protein Images
Chapter 9. Soft Computing in Biclustering
Chapter 10. Bayesian Machine-Learning Methods for Tumor Classification Using Gene Expression Data
Chapter 11. Modeling and Analysis of Quantative Proteomics Data Obtained from iTRAQ Experiments
Chapter 12. Statistical Methods for Classifying Mass Spectrometry Database Search Results
Index
Back cover