This project focuses on classifying MECP2 gene mutations as benign or pathogenic using machine learning and deep learning models
-
Updated
Apr 16, 2025 - Jupyter Notebook
This project focuses on classifying MECP2 gene mutations as benign or pathogenic using machine learning and deep learning models
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
Add a description, image, and links to the mecp2 topic page so that developers can more easily learn about it.
To associate your repository with the mecp2 topic, visit your repo's landing page and select "manage topics."