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Expanding and Remixing the Metadata Landscape
- Source :
- Trends in Cancer; April 2021, Vol. 7 Issue: 4 p276-278, 3p
- Publication Year :
- 2021
-
Abstract
- Genomic data sharing accelerates research. Data are most valuable when they are accompanied by detailed metadata. To date, metadata are often human-annotated descriptions of samples and their handling. We discuss how machine learning-derived elements complement such descriptions to enhance the research ecosystem around genomic data.
Details
- Language :
- English
- ISSN :
- 24058033
- Volume :
- 7
- Issue :
- 4
- Database :
- Supplemental Index
- Journal :
- Trends in Cancer
- Publication Type :
- Periodical
- Accession number :
- ejs54559358
- Full Text :
- https://doi.org/10.1016/j.trecan.2020.10.011