Sullivan R. Introduction to Data Mining for the Life Sciences

Springer, 2012. — 648 p. — ISBN: 1588299422.Data mining provides a set of new techniques to integrate, synthesize, and analyze data, uncovering the hidden patterns that exist within. Traditionally, techniques such as kernel learning methods, pattern recognition, and data mining, have been the domain of researchers in areas such as artificial intelligence, but leveraging these tools, techniques, and concepts against your data asset to identify problems early, understand interactions that exist and highlight previously unrealized relationships through the combination of these different disciplines can provide significant value for the investigator and her organization.Fundamental Concepts
Data Architecture and Data Modeling
Representing Data Mining Results
The Input Side of the Equation
Statistical Methods
Bayesian Statistics
Machine-Learning Techniques
Classification and Prediction
Informatics
Systems Biology
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