"Designing interpretable deep learning applications for functional ..."

Arno van Hilten et al. (2024)

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DOI: 10.1093/BIB/BBAE449

access: closed

type: Journal Article

metadata version: 2025-09-06

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Arno van Hilten, Sonja Katz, Edoardo Saccenti, Wiro J. Niessen, Gennady V. Roshchupkin:
Designing interpretable deep learning applications for functional genomics: a quantitative analysis. Briefings Bioinform. 25(3) (2024)

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