Article

Artificial Molecular Network (AMoNet): graph learning for cancer survival prediction from targeted sequencing

2022-08-29

Abstract excerpt

<title>Abstract</title> <p>AMoNet (Artificial Molecular Networks) is a tool that aims to predict cancer patients’ survival when only targeted gene sequencing data are available. Outcome predictions from sparse data can benefit from new methods including deep learning. Our approach optimizes large recurrent directed molecular networks built from prior knowledge supported by speed-up computations and interpretation...

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Literature Corpus work: 06f8c494-4fbb-53c0-9a30-17bd8330bfb3
DOI: 10.21203/rs.3.rs-1909601/v1

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