Article

Towards AI-designed genomes using a variational autoencoder

2023-10-22

Abstract excerpt

Genomes encode elaborate networks of genes whose products must seamlessly interact to support living organisms. Humans' capacity to understand these biological systems is limited by their sheer size and complexity. In this work, we develop a proof of concept framework for training a machine learning algorithm to model bacterial genome composition. To achieve this, we create simplified representations of genomes in...

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Literature Corpus work: 3e974a79-2d4e-5958-92e8-694760810513
DOI: 10.1101/2023.10.22.563484

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