Article

Dimensionality Reduction of Genetic Data using Contrastive Learning

2024-10-02

Abstract excerpt

We introduce a framework for using contrastive learning for dimensionality reduction on genetic datasets to create PCA-like population visualizations. Contrastive learning is a self-supervised deep learning method that uses similarities between samples to train the neural network to discriminate between samples. Many of the advances in these types of models have been made for computer vision, but some common metho...

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Literature Corpus work: dc1f70bb-e87f-5865-8354-bb0f673e838d
DOI: 10.1101/2024.09.30.615901

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