Supplementary Data for [Machine Learning Reveals and Predicts Phenotypic Heterogeneity in the Prenatal Valproic Acid Rat Model of Autism Spectrum Disorder]

This repository contains the longitudinal behavioral dataset and the custom Python computational pipeline used in the study, "Machine Learning Reveals and Predicts Phenotypic Heterogeneity in the Prenatal Valproic Acid Rat Model of Autism Spectrum Disorder".
The primary objective of this project is to address the inherent phenotypic heterogeneity of the prenatal valproic acid (VPA) rat model of Autism Spectrum Disorder (ASD). The provided code objectively stratifies adult behavioral phenotypes without a priori clinical assumptions and prospectively predicts susceptibility versus resilience using early neurodevelopmental milestones.