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Update to improve reproducibility and interpretability: A response to “Machine Learning for Tumor Growth Inhibition”
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8923728/ https://www.ncbi.nlm.nih.gov/pubmed/35102724 http://dx.doi.org/10.1002/psp4.12760 |
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author | Chan, Phyllis Lu, James Bruno, René Jin, Jin Y. |
author_facet | Chan, Phyllis Lu, James Bruno, René Jin, Jin Y. |
author_sort | Chan, Phyllis |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-8923728 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89237282022-03-21 Update to improve reproducibility and interpretability: A response to “Machine Learning for Tumor Growth Inhibition” Chan, Phyllis Lu, James Bruno, René Jin, Jin Y. CPT Pharmacometrics Syst Pharmacol Perspectives John Wiley and Sons Inc. 2022-01-31 2022-03 /pmc/articles/PMC8923728/ /pubmed/35102724 http://dx.doi.org/10.1002/psp4.12760 Text en © 2022 Genentech and Roche. CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Perspectives Chan, Phyllis Lu, James Bruno, René Jin, Jin Y. Update to improve reproducibility and interpretability: A response to “Machine Learning for Tumor Growth Inhibition” |
title | Update to improve reproducibility and interpretability: A response to “Machine Learning for Tumor Growth Inhibition” |
title_full | Update to improve reproducibility and interpretability: A response to “Machine Learning for Tumor Growth Inhibition” |
title_fullStr | Update to improve reproducibility and interpretability: A response to “Machine Learning for Tumor Growth Inhibition” |
title_full_unstemmed | Update to improve reproducibility and interpretability: A response to “Machine Learning for Tumor Growth Inhibition” |
title_short | Update to improve reproducibility and interpretability: A response to “Machine Learning for Tumor Growth Inhibition” |
title_sort | update to improve reproducibility and interpretability: a response to “machine learning for tumor growth inhibition” |
topic | Perspectives |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8923728/ https://www.ncbi.nlm.nih.gov/pubmed/35102724 http://dx.doi.org/10.1002/psp4.12760 |
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