Abstract
In this paper we have reported a mathematical method for the compact characterization of proteomics maps. Selected spots from proteomics maps are transformed into 3-D curves which, in turn, are represented by D/D matrices. The leading eigenvalues of such matrices and their higher powers are used as biodescriptors to characterize proteomics patterns. The set of biodescriptors derived from the normal cells and cells exposed to four peroxisome proliferators show that these compact biodescriptors are able to discriminate the characteristic effects of these toxicants on the cellular proteome.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 456-479 |
| Number of pages | 24 |
| Journal | Medicinal Chemistry Research |
| Volume | 10 |
| Issue number | 7-8 |
| State | Published - Dec 1 2001 |