1. Very Large Arrays

  1. Phillip I. Good

Published Online: 23 FEB 2011

DOI: 10.1002/9780470937273.ch1

Analyzing the Large Number of Variables in Biomedical and Satellite Imagery

Analyzing the Large Number of Variables in Biomedical and Satellite Imagery

How to Cite

Good, P. I. (2011) Very Large Arrays, in Analyzing the Large Number of Variables in Biomedical and Satellite Imagery, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470937273.ch1

Author Information

  1. Huntington Beach CA, USA

Publication History

  1. Published Online: 23 FEB 2011
  2. Published Print: 21 MAR 2011

ISBN Information

Print ISBN: 9780470927144

Online ISBN: 9780470937273

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Keywords:

  • bootstrap;
  • decision trees;
  • distribution-free methods;
  • permutation test;
  • very large arrays of data

Summary

Very large arrays of data, that is, data sets for which the number of observations per subject may be an order of magnitude greater than the number of subjects that are observed, arise in genetics research (microarrays), neurophysiology (EEGs), and image analysis (ultrasound, MRI, fMRI, MEG, and PET maps, telemetry). This chapter considers the problems that arise when the author attempts to analyze such data, and potential solutions to these problems. The solutions to the problems require all of the following: distribution-free methods, methods for reducing the number of variables under review, and methods for controlling significance levels and/or false detection rates.

Controlled Vocabulary Terms

bootstrap method; influence diagram; Non-parametric methods; permutation test