Verifying explainability of a deep learning tissue classifier trained on RNA-seq data

For complex machine learning (ML) algorithms to gain widespread acceptance in decision making, we must be able to identify the features driving the predictions. Explainability models allow transparency of ML algorithms, however their reliability within high-dimensional data is unclear. To test the r...

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Vydáno v:Sci Rep
Hlavní autoři: Yap, Melvyn, Johnston, Rebecca L., Foley, Helena, MacDonald, Samual, Kondrashova, Olga, Tran, Khoa A., Nones, Katia, Koufariotis, Lambros T., Bean, Cameron, Pearson, John V., Trzaskowski, Maciej, Waddell, Nicola
Médium: Artigo
Jazyk:Inglês
Vydáno: Nature Publishing Group UK 2021
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Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7846764/
https://ncbi.nlm.nih.gov/pubmed/33514769
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-81773-9
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