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Accuracy of a machine learning method based on structural and locational information from AlphaFold2 for predicting the pathogenicity of TARDBP and FUS gene variants in ALS

Crossref DOI link: https://doi.org/10.1186/s12859-023-05338-5

Published Online: 2023-05-19

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Hatano, Yuya

Ishihara, Tomohiko http://orcid.org/0000-0001-9915-8665
Onodera, Osamu
Funding

Funding for this research was provided by:

Tsubaki Memorial Foundation

SERIKA Foundation

Japan Society for the Promotion of Science (21K07272)
License Information

Text and Data Mining valid from 2023-05-19

Version of Record valid from 2023-05-19
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Article History

Received: 22 September 2022

Accepted: 9 May 2023

First Online: 19 May 2023

Declarations

:

: This study did not involve humans or animals.

: Not applicable.

: There are no associations with companies or organizations that would constitute a conflict of interest requiring disclosure in relation to this study.

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