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Interpreting Cis-Regulatory Interactions from Large-Scale Deep Neural Networks for Genomics
The rise of large-scale, sequence-based deep neural networks (DNNs) for predicting gene expression has introduced challenges in their evaluation and interpretation. Current evaluations align DNN predictions with experimental perturbation assays, offering a limited perspective of the DNN’s capabiliti...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Cold Spring Harbor Laboratory
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349992/ https://www.ncbi.nlm.nih.gov/pubmed/37461616 http://dx.doi.org/10.1101/2023.07.03.547592 |