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Positional SHAP (PoSHAP) for Interpretation of machine learning models trained from biological sequences
Machine learning with multi-layered artificial neural networks, also known as “deep learning,” is effective for making biological predictions. However, model interpretation is challenging, especially for sequential input data used with recurrent neural network architectures. Here, we introduce a fra...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8797255/ https://www.ncbi.nlm.nih.gov/pubmed/35089914 http://dx.doi.org/10.1371/journal.pcbi.1009736 |