Gene expression analysis workflow with Autoencoders, Random forest algorithm, and Z-score.
Abstract
A comprehensive workflow for gene expression data analysis using various autoencoder architectures for dimensionality reduction and Random Forest feature importance analysis, and Z-score analysis.
Publication details
- Journal / source
- Figshare
- Publication date
- 2 January 2026