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GPDBN: deep bilinear network integrating both genomic data and pathological images for breast cancer prognosis prediction
MOTIVATION: Breast cancer is a very heterogeneous disease and there is an urgent need to design computational methods that can accurately predict the prognosis of breast cancer for appropriate therapeutic regime. Recently, deep learning-based methods have achieved great success in prognosis predicti...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479662/ https://www.ncbi.nlm.nih.gov/pubmed/33734318 http://dx.doi.org/10.1093/bioinformatics/btab185 |