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Reproducibility in systems biology modelling

Authors :
Krishna Tiwari
Sarubini Kananathan
Matthew G Roberts
Johannes P Meyer
Mohammad Umer Sharif Shohan
Ashley Xavier
Matthieu Maire
Ahmad Zyoud
Jinghao Men
Szeyi Ng
Tung V N Nguyen
Mihai Glont
Henning Hermjakob
Rahuman S Malik‐Sheriff
Source :
Molecular Systems Biology, Vol 17, Iss 2, Pp n/a-n/a (2021)
Publication Year :
2021
Publisher :
Springer Nature, 2021.

Abstract

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.

Details

Language :
English
ISSN :
17444292
Volume :
17
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Molecular Systems Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.9e30a87294f04fefb03170ad85c3f298
Document Type :
article
Full Text :
https://doi.org/10.15252/msb.20209982