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Knowledge-primed neural networks enable biologically interpretable deep learning on single-cell sequencing data
BACKGROUND: Deep learning has emerged as a versatile approach for predicting complex biological phenomena. However, its utility for biological discovery has so far been limited, given that generic deep neural networks provide little insight into the biological mechanisms that underlie a successful p...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7397672/ https://www.ncbi.nlm.nih.gov/pubmed/32746932 http://dx.doi.org/10.1186/s13059-020-02100-5 |