Introduction to Data Mining for the Life Sciences

One of the major challenges for the scientific community, a challenge that has been seen in many business disciplines, is the exponential increase in data being generated by new experimental techniques and research. A single microarray experiment, for example, can generate thousands of data points t...

Full description

Bibliographic Details
Main Author: Sullivan, Rob (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Totowa, NJ : Humana Press, 2012.
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Introduction
  • 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
  • Let’s Call it a Day
  • Appendix A
  • Appendix B
  • Appendix C. Appendix D
  • Index.