| Autor: |
Apolloni, Bruno, Marinaro, Maria, Tagliaferri, Roberto, Baudi, Francesco, Cannataro, Mario, Casadonte, Rita, Costanzo, Francesco, Cuda, Giovanni, Faniello, Maria Concetta, Gaspari, Marco, Guzzi, Pietro Hiram, Mazza, Tommaso, Quaresima, Barbara, Tagliaferri, Pierosandro, Tradigo, Giuseppe, Veltri, Pierangelo, Venuta, Salvatore |
| Zdroj: |
Biological & Artificial Intelligence Environments; 2005, p21-28, 8p |
| Abstrakt: |
Mass Spectrometry (MS) can be used as a detector in High Performance Liquid Chromatography (HPLC) systems or as a tool for direct protein/peptides profiling from biological samples. Data Mining (DM) is the semi-automated extraction of patterns representing knowledge implicitly stored in large databases. The combined use of MS with DM is a novel approach in proteomic pattern analysis and is emerging as an effective method for the early diagnosis of diseases. We describe the workflow of a proteomic experiment for early detection of cancer which combines MS and DM, giving details of sample treatment and preparation, MS data generation, MS data preprocessing, data clustering and classification. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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