BioinformaticsbioRxivPreprint
Linearization Autoencoder: an autoencoder-based regression model with latent space linearization
Sang-Yeon Lee, Hanjin Kim, Doheon Lee
The paper introduces a linearization autoencoder for regression analysis with high-dimensional data, achieving prediction and feature selection by aligning data points to linear relations of labels.