  In this study, we executed a genomic analysis with the objective of selecting
a set of genes (possibly small) that would help in the detection and
classification of samples from patients affected by Parkinson Disease. We
performed a complete data analysis and during the exploratory phase, we
selected a list of differentially expressed genes. Despite their association
with the diseased state, we could not use them as a biomarker tool. Therefore,
our research was extended to include a multivariate analysis approach resulting
in the identification and selection of a group of 20 genes that showed a clear
potential in detecting and correctly classify Parkinson Disease samples even in
the presence of other neurodegenerative disorders.
