Athanasios Papastathopoulos-Katsaros

The paper identifies noncoding MECP2 variants that cause male-biased autism by disrupting CRE activity and reducing MECP2 expression.

This paper introduces a vision-based model for predicting CNV pathogenicity using track-based spatial representations, achieving improved performance on benchmarks and clinical datasets.

This paper introduces PFCGR, a new encoding method for classifying plant lncRNAs using machine learning, achieving high accuracy with significantly reduced computational time compared to DNABERT.