Article

Sparse network-based regularization for the analysis of patientomics high-dimensional survival data

2018-08-30

Abstract excerpt

Data availability by modern sequencing technologies represents a major challenge in oncological survival analysis, as the increasing amount of molecular data hampers the generation of models that are both accurate and interpretable. To tackle this problem, this work evaluates the introduction of graph centrality measures in classical sparse survival models such as the elastic net. We explore the use of network inf...

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Identifiers and source

Literature Corpus work: 42831e9e-f7bd-5541-8884-7733a604ca33
DOI: 10.1101/403402

Open publication

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