Per-sequence empirical null framework for DNA correlation analysis with mono- and dinucleotide shuffle calibration. Includes π-validation, six parallel correlation methods, and repeat-screening diagnostics.

Analysis of various genetic backgrounds to help elucidate aspects of Rett syndrome

This project focuses on classifying MECP2 gene mutations as benign or pathogenic using machine learning and deep learning models