Reproducibility in systems biology modelling

被引：56

作者：

Tiwari, Krishna ^{[1
,2
]}

Kananathan, Sarubini ^{[1
]}

Roberts, Matthew G. ^{[1
]}

Meyer, Johannes P. ^{[1
]}

Sharif Shohan, Mohammad Umer ^{[1
]}

Xavier, Ashley ^{[1
]}

Maire, Matthieu ^{[1
]}

Zyoud, Ahmad ^{[1
]}

Men, Jinghao ^{[1
]}

Ng, Szeyi ^{[1
]}

Nguyen, Tung V. N. ^{[1
]}

Glont, Mihai ^{[1
]}

Hermjakob, Henning ^{[1
,3
]}

Malik-Sheriff, Rahuman S. ^{[1
]}

机构：

[1] European Bioinformat Inst EMBL EBI, European Mol Biol Lab, Wellcome Genome Campus, Cambridge, England

[2] Babraham Inst, Babraham Res Campus, Cambridge, England

[3] Natl Ctr Prot Sci, Beijing Inst Life, Phoenix Ctr, Beijing, Peoples R China

来源：

MOLECULAR SYSTEMS BIOLOGY | 2021年 / 17卷 / 02期

基金：

英国生物技术与生命科学研究理事会;

关键词：

D O I：

10.15252/msb.20209982

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页数：7

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