Article

Annotating publicly-available samples and studies using interpretable modeling of unstructured metadata

2024-06-04

Abstract excerpt

Reusing massive collections of publicly available biomedical data can significantly impact knowledge discovery. However, these public samples and studies are typically described using unstructured plain text, hindering the findability and further reuse of the data. To combat this problem, we propose txt2onto 2 . 0 , a general-purpose method based on natural language processing and machine learning for annotating...

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Literature Corpus work: b80a0e2f-cc6e-58b7-94ce-3657ff177952
DOI: 10.1101/2024.06.03.597206

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