Article

Performance Comparison of Deep Learning Autoencoders for Cancer Subtype Detection Using Multi-Omics Data

2021-02-17

Abstract excerpt

A heterogeneous disease like cancer is activated through multiple pathways and different perturbations. Depending upon the activated pathway(s), patients’ survival vary significantly and show different efficacy to various drugs. Therefore, cancer subtype detection using genomics level data is a significant research problem. Subtype detection is often a complex problem, and in most cases, needs multi-omics da...

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Literature Corpus work: f3e9de9d-4dde-583c-b96e-857ad8614391
DOI: 10.20944/preprints202102.0365.v1

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