We used new machine-learning approaches to reanalyse existing microarray transcriptomic data and identified new potential biomarkers. We have successfully validated expression differences in two genes ARFGEF2 and GOLGA8G as potential biomarkers for Huntington disease
COBISS.SI-ID: 24222247
The results of this study indicate that other types of genome variants should be required for the development and/or progression of multiple sclerosis, which may vary among populations.
COBISS.SI-ID: 26885593