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...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Yongbing, Shao, Jinfeng, Asmann, Yan W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Research
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

Internet

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

Ejemplares similares