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R package for the statistical detection of orthogroups associated to plant traits pointing to specific genes that might be present of absence and are good candidate genes responsible for the plant trait.
Repository for the presentation of work developed by the student Duarte Velho for the UC Project, of the Master in Bioinformatics of the University of Minho, academic year 23-24.
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.