Robust Prediction of the MASCOT Score for an Improved Quality Assessment in Mass Spectrometric Proteomics

• Published in: Journal of proteome research Vol. 7; no. 9; pp. 3708 - 3717
• Main Authors: Koenig, Thomas, Menze, Bjoern H, Kirchner, Marc, Monigatti, Flavio, Parker, Kenneth C, Patterson, Thomas, Steen, Judith Jebanathirajah, Hamprecht, Fred A, Steen, Hanno
• Format: Journal Article
• Language: English
• Published: United States American Chemical Society 01.09.2008
• Subjects: Proteomics; Tandem Mass Spectrometry - standards; peptide identification; random forest; classification; supervised learning; regression

Protein identification by tandem mass spectrometry is based on the reliable processing of the acquired data. Unfortunately, the generation of a large number of poor quality spectra is commonly observed in LC-MS/MS, and the processing of these mostly noninformative spectra with its associated costs s...