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Variational Autoencoders for Cancer Data Integration: Design Principles and Computational Practice
International initiatives such as the Molecular Taxonomy of Breast Cancer International Consortium are collecting multiple data sets at different genome-scales with the aim to identify novel cancer bio-markers and predict patient survival. To analyze such data, several machine learning, bioinformati...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6917668/ https://www.ncbi.nlm.nih.gov/pubmed/31921281 http://dx.doi.org/10.3389/fgene.2019.01205 |