Ivan Lecce

The paper introduces MEMAR, a Maximum Entropy model for predicting m6A methylation in human transcripts and influenza A viral segments, showing improved performance over existing methods.

This paper introduces a method to decode host and viral family fingerprints in nucleotide usage, showing it outperforms deep learning for classification and enables manipulation of nucleotide composition in viral sequences.