Classification of polypeptide spectra from rat liver samples

Lit Hsin Loo, J. Quinn, J. Armitage, H. Cordingley, S. Roberts, P. J. Bugelski, L. Hrebien, M. Kam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We use clustering-based algorithms to classify polypeptide spectra of treated rat liver samples obtained through surface enhanced laser desorption/ionization mass spectrometry (SELDI-MS). Variance analysis is used to extract useful features from the high dimensional datasets. The features are then clustered using a hierarchical clustering algorithm based on scaled Euclidean distances. The clusters created are found to be correlated to the toxicity of the rat liver samples.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE 28th Annual Northeast Bioengineering Conference, NEBC 2002
EditorsDalia El-Sherif, Karen Moxon, Saravanan Kanakasabai
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages139-140
Number of pages2
ISBN (Electronic)0780374193
DOIs
StatePublished - Jan 1 2002
Externally publishedYes
Event28th IEEE Annual Northeast Bioengineering Conference, NEBC 2002 - Philadelphia, United States
Duration: Apr 20 2002Apr 21 2002

Publication series

NameProceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC
Volume2002-January
ISSN (Print)1071-121X
ISSN (Electronic)2160-7001

Other

Other28th IEEE Annual Northeast Bioengineering Conference, NEBC 2002
CountryUnited States
CityPhiladelphia
Period4/20/024/21/02

All Science Journal Classification (ASJC) codes

  • Bioengineering

Keywords

  • Analysis of variance
  • Clustering algorithms
  • Drugs
  • Fingerprint recognition
  • Liver
  • Mass spectroscopy
  • Rats
  • Surface emitting lasers
  • Throughput
  • Toxicology

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