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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Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Sci Rep
Egile Nagusiak: 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
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Nature Publishing Group UK 2021
Gaiak:
Article
Sarrera elektronikoa: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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