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Verifying explainability of a deep learning tissue classifier trained on RNA-seq data
For complex machine learning (ML) algorithms to gain widespread acceptance in decision making, we must be able to identify the features driving the predictions. Explainability models allow transparency of ML algorithms, however their reliability within high-dimensional data is unclear. To test the r...
| Autores principales: | , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7846764/ https://www.ncbi.nlm.nih.gov/pubmed/33514769 http://dx.doi.org/10.1038/s41598-021-81773-9 |