This is the code for the mutation pathogenicity prediction model GENESIS (GENe-specific EnSemble grId Search). GENESIS identifies high-performing, gene-specific logistic regression and feedforward neural network models that predict whether a mutation will cause disease.
If you find this code helpful, please consider citing us:
Draelos, Rachel L., Jordan E. Ezekian, Farica Zhuang, Mary E. Moya-Mendez, Zhushan Zhang, Michael B. Rosamilia, Perathu KR Manivannan, Ricardo Henao, and Andrew P. Landstrom. "GENESIS: Gene-Specific Machine Learning Models for Variants of Uncertain Significance Found in Catecholaminergic Polymorphic Ventricular Tachycardia and Long QT Syndrome-Associated Genes." Circulation: Arrhythmia and Electrophysiology 15, no. 4 (2022): e010326.
Python 3.5.1 See requirements.txt for packages
A tutorial is coming soon!