Attila Jones

This paper uses network pharmacology to identify and validate drug repurposing candidates for Alzheimer's Disease, finding arundine and TUDCA as promising candidates.

DeepMosaic detects mosaic single nucleotide variants without control samples using deep convolutional neural networks, achieving high accuracy and uncovering many variants missed by existing methods.

The paper evaluates brain somatic mosaicism in the adult human to identify rules governing cellular distribution during embryogenesis.

The paper identifies prenatal mutational processes in schizophrenia brains linked to transcription factor binding sites and proposes a new term 'skiagenesis' for these mutations.

This study identifies somatic SNVs in non-cancerous human brain tissues and establishes best practices for detecting low-frequency variants.

The paper introduces a machine learning method to detect somatic L1 insertions in human brain tissue, revealing their widespread distribution in neurons and glia and potential role in neuropsychiatric diseases.