Classification of polypeptide spectra from rat liver samples

Lit Hsin Loo, John Quinn, James Armitage, Hayley Cordingley, Samuel Roberts, Peter J. Bugelski, Leonid Hrebien, Moshe Kam

Research output: Contribution to journalConference articlepeer-review


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)
Pages (from-to)139-140
Number of pages2
JournalProceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC
StatePublished - 2002
Externally publishedYes
EventIEEE 28th Annual Northeast Bioengineering Conference - Philadelphia, PA, United States
Duration: Apr 20 2002Apr 21 2002

All Science Journal Classification (ASJC) codes

  • General Chemical Engineering
  • Bioengineering


  • Hepatotoxicity
  • Hierarchical clustering
  • Matrix assisted laser desorption/ionization
  • Polypeptide spectra
  • Predictive toxicology


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