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Learning to train and to explain a deep survival model with large scale ovarian cancer transcriptomic data

2022-11-17

Abstract excerpt

Ovarian cancer is a complex disease with poor outcome affecting women worldwide. The lack of successful therapeutic options for ovarian cancer patients results in the strong need to identify new biomarkers for patient selection. The development of outcome predictors based on gene expression is important not only for patient stratification but also to recognize categories of patients that are more likely to respond...

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Literature Corpus work
373e2e6b-d58b-5b65-bbd0-2526a9f0d5e0
DOI
10.21203/rs.3.rs-2259784/v1
Open publication

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Learning to train and to explain a deep survival model with large scale ovarian cancer transcriptomic dataDOI 10.21203/rs.3.rs-2259784/v1
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