Article

End-to-end deep learning versus machine learning for biomarker discovery in cancer genomes

2025-01-07

Abstract excerpt

<h4>Background</h4> Accurate determination of genomic biomarkers from tumor sequencing is fundamental to precision oncology, informing disease classification and treatment decisions. In practice, biomarker inference relies on computational pipelines that often compress high-dimensional mutation data into predefined summaries such as mutational signatures or composite genomic features. While robust and widely adop...

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Literature Corpus work: 0a21c5b2-15d4-539f-8fbe-81ba947c9607
DOI: 10.1101/2025.01.06.631471

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