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Assessment and Optimization of Explainable Machine Learning Models Applied to Transcriptomic Data
Explainable artificial intelligence aims to interpret how machine learning models make decisions, and many model explainers have been developed in the computer vision field. However, understanding of the applicability of these model explainers to biological data is still lacking. In this study, we c...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10025763/ https://www.ncbi.nlm.nih.gov/pubmed/35931322 http://dx.doi.org/10.1016/j.gpb.2022.07.003 |