Title :
Analysis and Classification of Proteomics Data, a Case Study
Author :
Guzzi, P.H. ; Cannataro, M. ; Gaspari, M. ; Mazza, T. ; Quaresima, B. ; Veltri, P. ; Costanzo, F.S.
Author_Institution :
Universita Magna Graecia di Catanzaro
Abstract :
This paper presents a methodology for analyzing and classifying proteins identified in biological samples. In particular, such methodology consists in normalizing and classifying quantity and quality of proteins identified by using tandem mass spectrometry. A case study is considered and a classification experiment for protein discriminant is also reported
Keywords :
biology computing; mass spectroscopic chemical analysis; molecular biophysics; molecular configurations; proteins; biological samples; protein analysis; protein classification; protein discriminant; proteomics; tandem mass spectrometry; Biological information theory; Computer aided software engineering; Data analysis; Data mining; Mass spectroscopy; Peptides; Proteins; Proteomics; Protocols; Relational databases;
Conference_Titel :
Computer-Based Medical Systems, 2006. CBMS 2006. 19th IEEE International Symposium on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7695-2517-1
DOI :
10.1109/CBMS.2006.43
