Availability of MudPIT data for classification of biological samples.

ABSTRACT:

Unlabelled

Background

Mass spectrometry is an important analytical tool for clinical proteomics. Primarily employed for biomarker discovery, it is increasingly used for developing methods which may help to provide unambiguous diagnosis of biological samples. In this context, we investigated the classification of phenotypes by applying support vector machine (SVM) on experimental data obtained by MudPIT approach. In particular, we compared the performance capabilities of SVM by using two independent collection of complex samples and different data-types, such as mass spectra (m/z), peptides and proteins.

Results

Globally, protein and peptide data allowed a better discriminant informative content than experimental mass spectra (overall accuracy higher than 87% in both

SUBMITTER: Silvestre DD 

PROVIDER: S-EPMC3563498 | biostudies-literature | 2013 Jan

REPOSITORIES: biostudies-literature