GAN and WGAN-GP gene expression data generation for Alzheimer's Disease research with wPCA scoring evaluation

This program contains a Synthetic Data Generator for generating synthetic gene expression data for Alzheimer's Disease research. It implements both WGAN-GP (Wasserstein Generative Adversarial Network with Gradient Penalty) and traditional GAN approaches with quality assessment with wPCA scoring to create high-quality and statistically similar synthetic data while preserving the biological characteristics of the original datasets.