Informace o publikaci
Regression Algorithm for Identification of Biomarker Areas in SELDI-TOF Mass Spectra
| Autoři | |
|---|---|
| Rok publikování | 2014 |
| Druh | Článek v odborném periodiku |
| Časopis / Zdroj | International Journal of Imaging and Robotics |
| Fakulta / Pracoviště MU | |
| Citace | |
| www | URL |
| Obor | Obecná matematika |
| Klíčová slova | Markers; molecular biology; mass spectra; gnostics; supercomputer. |
| Popis | We describe a special regression algorithm for the identification of biomarker areas in SELDI-TOF mass spectra in this paper. Tests in a set of orthogonal polynomial regressions is the basic principle of this approach. Gnostic cluster analysis is then a very effective algorithmic complement, especially, for a case of excessive behavior of a part of (bio)markers. Apart from this another a new way of TIC-normalization of data is proposed in this paper. This new regression algorithm averages results significantly more effectively than software systems used. A very considerable amount of computation was made on a supercomputer. |
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