Alal Eran

The paper uses machine learning to analyze clinical data from the Simons Simplex Collection, finding associations between fever-induced behavioral improvements in ASD and maternal infection, GI dysfunction, and family history of autoimmune and neuropsychiatric disorders.

The paper introduces miRmedon, a method for detecting A-to-I miRNA editing in small RNAseq data, and finds widespread co-editing of mature miRNA in the human brain.

This study uses RNA secondary structure to predict A-to-I editing sites, achieving moderate accuracy with a PPV of 0.68 and AUC of 0.71.

The paper identifies pigment-dependent angiogenic factors and their regulation by MC1R signaling across human tissues.

miRmedon detects miRNA editing in small RNAseq data by addressing limitations of existing methods through improved alignment and error distribution analysis.