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- W4293493582 abstract "Abstract 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 interpretations. Predictions suggested by the model simulations are available in a user-friendly interface." @default.
- W4293493582 created "2022-08-29" @default.
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- W4293493582 date "2022-08-29" @default.
- W4293493582 modified "2023-10-17" @default.
- W4293493582 title "Artificial Molecular Network (AMoNet): graph learning for cancer survival prediction from targeted sequencing" @default.
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- W4293493582 doi "https://doi.org/10.21203/rs.3.rs-1909601/v1" @default.
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