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AUTOSurv: Interpretable Deep Learning Framework for Cancer Survival Analysis Incorporating Clinical and Multi-omics Data

2023-08-08

Abstract excerpt

<title>Abstract</title><p>Accurate prognosis for cancer patients can provide critical information for optimizing treatment plans and improving life quality. Combining omics data and demographic/clinical information can offer a more comprehensive view of cancer prognosis than using omics or clinical data alone and can reveal the underlying disease mechanisms at the molecular level. In this study, we developed a nov...

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Literature Corpus work
d3cab8e7-3341-5f21-83c0-60d83a057195
DOI
10.21203/rs.3.rs-2486756/v1
Open publication

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AUTOSurv: Interpretable Deep Learning Framework for Cancer Survival Analysis Incorporating Clinical and Multi-omics DataDOI 10.21203/rs.3.rs-2486756/v1
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