%0 Journal Article %1 Heil2021 %A Heil, Benjamin J. %A Hoffman, Michael M. %A Markowetz, Florian %A Lee, Su-In %A Greene, Casey S. %A Hicks, Stephanie C. %D 2021 %J Nature Methods %K fair-data life-science rdm %N 10 %P 1132-1135 %R 10.1038/s41592-021-01256-7 %T Reproducibility standards for machine learning in the life sciences %U https://doi.org/10.1038/s41592-021-01256-7 %V 18 %X To make machine-learning analyses in the life sciences more computationally reproducible, we propose standards based on data, model and code publication, programming best practices and workflow automation. By meeting these standards, the community of researchers applying machine-learning methods in the life sciences can ensure that their analyses are worthy of trust.

@article{Heil2021, abstract = {To make machine-learning analyses in the life sciences more computationally reproducible, we propose standards based on data, model and code publication, programming best practices and workflow automation. By meeting these standards, the community of researchers applying machine-learning methods in the life sciences can ensure that their analyses are worthy of trust.}, added-at = {2022-06-01T17:35:45.000+0200}, author = {Heil, Benjamin J. and Hoffman, Michael M. and Markowetz, Florian and Lee, Su-In and Greene, Casey S. and Hicks, Stephanie C.}, biburl = {https://www.bibsonomy.org/bibtex/2d87b41263dfed19e3bf47c5544cf134d/musyaffa}, day = 01, doi = {10.1038/s41592-021-01256-7}, interhash = {3477fba21ebf1284f4c0f88a2c8a771f}, intrahash = {d87b41263dfed19e3bf47c5544cf134d}, issn = {1548-7105}, journal = {Nature Methods}, keywords = {fair-data life-science rdm}, month = oct, number = 10, pages = {1132-1135}, timestamp = {2022-06-01T17:35:45.000+0200}, title = {Reproducibility standards for machine learning in the life sciences}, url = {https://doi.org/10.1038/s41592-021-01256-7}, volume = 18, year = 2021 }