Magdalena Arnal

This study compares machine learning methods for classifying multiple sclerosis and Alzheimer's disease using genomic data from UK Biobank, finding logistic regression is most robust while deep learning shows high variability.

PRALINE is a database that catalogs proteins and RNAs in biological condensates, their interactions, and the impact of single-nucleotide variants on condensate properties.

This study identifies SAM68 as a regulator of cardiomyocyte differentiation by enhancing Gata4 translation through RNA-binding in mouse embryonic stem cells.

The paper uses machine learning to analyze genotyping data and identifies interactions between SNVs in late onset Alzheimer's disease, highlighting specific genomic profiles and interactions involving APOE and other genes.

This study identifies shared transcriptomic changes between Alzheimer's disease and Major Depression in mice, suggesting Major Depression may be an early manifestation of Alzheimer's.