/Thesis_PCA_vs_AE

This project is a comparative study of Autoencoder (AE) and Principal Component Analysis (PCA) for dimensionality reduction in gene expression data. It aims to understand the unique capabilities and applications of both methods in handling high-dimensional biological data.

Primary LanguageJupyter NotebookGNU General Public License v3.0GPL-3.0

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