Anthony William Zoghbi

Genome-wide prediction of dominant and recessive neurodevelopmental disorder risk genes

This paper develops machine learning models to predict neurodevelopmental disorder risk genes using single-cell RNA-seq data and inheritance patterns, achieving high predictive accuracy.

Establishing a transcriptome-based drug discovery paradigm for neurodevelopmental disorders

This paper proposes a transcriptome reversal approach for drug discovery in neurodevelopmental disorders to identify compounds that reverse disease-associated gene-expression signatures.