Article

<i>In silico</i> generation of synthetic cancer genomes using generative AI

2024-10-20

Abstract excerpt

Cancer originates from alterations in the genome, and understanding how these changes lead to disease is crucial for achieving the goals of precision oncology. Connecting genomic alterations to health outcomes requires extensive computational analysis using accurate algorithms. Over the years, these algorithms have become increasingly sophisticated, but a severe shortage of open access gold-standard datasets prese...

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Literature Corpus work: 0a5b688d-f07c-5dfc-ad3e-bc13ec5be9f4
DOI: 10.1101/2024.10.17.618896

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