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DeePathology: Deep Multi-Task Learning for Inferring Molecular Pathology from Cancer Transcriptome
Despite great advances, molecular cancer pathology is often limited to the use of a small number of biomarkers rather than the whole transcriptome, partly due to computational challenges. Here, we introduce a novel architecture of Deep Neural Networks (DNNs) that is capable of simultaneous inference...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6848155/ https://www.ncbi.nlm.nih.gov/pubmed/31712594 http://dx.doi.org/10.1038/s41598-019-52937-5 |