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Identification of signatures in biomedical spectra using domain knowledge.

Authors
  • Pranckeviciene, Erinija
  • Somorjai, Ray
  • Baumgartner, Richard
  • Jeon, Moon-Gu
Type
Published Article
Journal
Artificial Intelligence in Medicine
Publisher
Elsevier
Publication Date
Nov 01, 2005
Volume
35
Issue
3
Pages
215–226
Identifiers
PMID: 16311187
Source
Medline
License
Unknown

Abstract

Features identified independently by the two methods and by their consensus, determine class-discriminatory groups or individual features, whose predictive power compares favorably with that of a state-of-the-art classifier. Furthermore, the identified feature signatures form stable groupings at definite spectral positions, hence are readily interpretable. This is a useful and important practical result for generating hypothesis for the domain expert.

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