Reproducibility in systems biology modelling. Issue 2 (23rd February 2021)

• Record Type: Journal Article
• Authors: 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
• Is Part Of: Molecular systems biology. Volume 17:Issue 2(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-02-23
• Subjects: Molecular biology -- Periodicals; Systems biology -- Periodicals; 572.8
• DOI: 10.15252/msb.20209982
• Languages: English
• ISSNs: 1744-4292

Abstract

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. Abstract : Reproducibility of scientific results is a key element of science and credibility. This piece assesses the reproducibility of mathematical models and presents an 8‐point scorecard for improving model reproducibility.