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Performance Comparison of Deep Learning Autoencoders for Cancer Subtype Detection Using Multi-Omics Data
SIMPLE SUMMARY: Here, we compared the performance of four different autoencoders: (a) vanilla, (b) sparse, (c) denoising, and (d) variational for subtype detection on four cancer types: Glioblastoma multiforme, Colon Adenocarcinoma, Kidney renal clear cell carcinoma, and Breast invasive carcinoma. M...
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| Publicado no: | Cancers (Basel) |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8122584/ https://ncbi.nlm.nih.gov/pubmed/33921978 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/cancers13092013 |
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