Classification-based comparison of pre-processing methods for interpretation of mass spectrometry generated clinical datasets.

ABSTRACT:

Background

Mass spectrometry is increasingly being used to discover proteins or protein profiles associated with disease. Experimental design of mass-spectrometry studies has come under close scrutiny and the importance of strict protocols for sample collection is now understood. However, the question of how best to process the large quantities of data generated is still unanswered. Main challenges for the analysis are the choice of proper pre-processing and classification methods. While these two issues have been investigated in isolation, we propose to use the classification of patient samples as a clinically relevant benchmark for the evaluation of pre-processing methods.

Results

Two in-house generated clinical SELDI-TOF MS datasets are used in this study as an example of

SUBMITTER: Wegdam W 

PROVIDER: S-EPMC2689848 | biostudies-literature | 2009 May

REPOSITORIES: biostudies-literature