J. A. da Costa

Integrating autoencoder deep neural networks with principal component-based methods for subpopulation identification

Abstract This study evaluated statistical dimensionality reduction techniques, Principal Component Analysis (PCA), Sparse PCA (SPCA), Independent PCA (IPCA), deep learning based on autoencoders (AE), and their hybrid combinations, for subpopulation identification in genomic data. High-dimensional single nucleotide poly...