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Reproducibility in systems biology modelling
Reproducibility of scientific results is a key element of science and credibility. The lack of reproducibility across many scientific fields has emerged as an important concern. In this piece, we assess mathematical model reproducibility and propose a scorecard for improving reproducibility in this...
| Autores principales: | , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7901289/ https://www.ncbi.nlm.nih.gov/pubmed/33620773 http://dx.doi.org/10.15252/msb.20209982 |
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| author | Tiwari, Krishna Kananathan, Sarubini Roberts, Matthew G Meyer, Johannes P Sharif Shohan, Mohammad Umer Xavier, Ashley Maire, Matthieu Zyoud, Ahmad Men, Jinghao Ng, Szeyi Nguyen, Tung V N Glont, Mihai Hermjakob, Henning Malik‐Sheriff, Rahuman S |
| author_facet | Tiwari, Krishna Kananathan, Sarubini Roberts, Matthew G Meyer, Johannes P Sharif Shohan, Mohammad Umer Xavier, Ashley Maire, Matthieu Zyoud, Ahmad Men, Jinghao Ng, Szeyi Nguyen, Tung V N Glont, Mihai Hermjakob, Henning Malik‐Sheriff, Rahuman S |
| author_sort | Tiwari, Krishna |
| collection | PubMed |
| description | Reproducibility of scientific results is a key element of science and credibility. The lack of reproducibility across many scientific fields has emerged as an important concern. In this piece, we assess mathematical model reproducibility and propose a scorecard for improving reproducibility in this field. |
| format | Online Article Text |
| id | pubmed-7901289 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2021 |
| publisher | John Wiley and Sons Inc. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-79012892021-03-03 Reproducibility in systems biology modelling Tiwari, Krishna Kananathan, Sarubini Roberts, Matthew G Meyer, Johannes P Sharif Shohan, Mohammad Umer Xavier, Ashley Maire, Matthieu Zyoud, Ahmad Men, Jinghao Ng, Szeyi Nguyen, Tung V N Glont, Mihai Hermjakob, Henning Malik‐Sheriff, Rahuman S Mol Syst Biol Commentary Reproducibility of scientific results is a key element of science and credibility. The lack of reproducibility across many scientific fields has emerged as an important concern. In this piece, we assess mathematical model reproducibility and propose a scorecard for improving reproducibility in this field. John Wiley and Sons Inc. 2021-02-23 /pmc/articles/PMC7901289/ /pubmed/33620773 http://dx.doi.org/10.15252/msb.20209982 Text en © 2021 The Authors. Published under the terms of the CC BY 4.0 license This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
| spellingShingle | Commentary Tiwari, Krishna Kananathan, Sarubini Roberts, Matthew G Meyer, Johannes P Sharif Shohan, Mohammad Umer Xavier, Ashley Maire, Matthieu Zyoud, Ahmad Men, Jinghao Ng, Szeyi Nguyen, Tung V N Glont, Mihai Hermjakob, Henning Malik‐Sheriff, Rahuman S Reproducibility in systems biology modelling |
| title | Reproducibility in systems biology modelling |
| title_full | Reproducibility in systems biology modelling |
| title_fullStr | Reproducibility in systems biology modelling |
| title_full_unstemmed | Reproducibility in systems biology modelling |
| title_short | Reproducibility in systems biology modelling |
| title_sort | reproducibility in systems biology modelling |
| topic | Commentary |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7901289/ https://www.ncbi.nlm.nih.gov/pubmed/33620773 http://dx.doi.org/10.15252/msb.20209982 |
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