Article

Cancer survival prediction by learning comprehensive deep feature representation for multiple types of genetic data

2023-02-17

Abstract excerpt

<h4>Background: </h4> Cancer is one of the leading death causes around the world. Accurate prediction of its survival time is significant, which can help clinicians make appropriate therapeutic schemes. Cancer data can be characterized by varied molecular features, clinical behaviors and morphological appearances. However, the data heterogeneity problem usually makes patient samples with different risks (i.e., sho...

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Literature Corpus work: c2bd7896-200f-563b-ba69-fdf33aeaf431
DOI: 10.21203/rs.3.rs-2560223/v1

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