Header

UZH-Logo

Maintenance Infos

Essential guidelines for computational method benchmarking


Weber, Lukas M; Saelens, Wouter; Cannoodt, Robrecht; Soneson, Charlotte; Hapfelmeier, Alexander; Gardner, Paul P; Boulesteix, Anne-Laure; Saeys, Yvan; Robinson, Mark D (2019). Essential guidelines for computational method benchmarking. Genome Biology, 20:125.

Abstract

In computational biology and other sciences, researchers are frequently faced with a choice between several computational methods for performing data analyses. Benchmarking studies aim to rigorously compare the performance of different methods using well-characterized benchmark datasets, to determine the strengths of each method or to provide recommendations regarding suitable choices of methods for an analysis. However, benchmarking studies must be carefully designed and implemented to provide accurate, unbiased, and informative results. Here, we summarize key practical guidelines and recommendations for performing high-quality benchmarking analyses, based on our experiences in computational biology.

Abstract

In computational biology and other sciences, researchers are frequently faced with a choice between several computational methods for performing data analyses. Benchmarking studies aim to rigorously compare the performance of different methods using well-characterized benchmark datasets, to determine the strengths of each method or to provide recommendations regarding suitable choices of methods for an analysis. However, benchmarking studies must be carefully designed and implemented to provide accurate, unbiased, and informative results. Here, we summarize key practical guidelines and recommendations for performing high-quality benchmarking analyses, based on our experiences in computational biology.

Statistics

Citations

Dimensions.ai Metrics
8 citations in Web of Science®
6 citations in Scopus®
Google Scholar™

Altmetrics

Downloads

3 downloads since deposited on 31 Jan 2020
3 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Journal Article, refereed, further contribution
Communities & Collections:07 Faculty of Science > Institute of Molecular Life Sciences
08 Research Priority Programs > Evolution in Action: From Genomes to Ecosystems
Dewey Decimal Classification:570 Life sciences; biology
Scopus Subject Areas:Life Sciences > Ecology, Evolution, Behavior and Systematics
Life Sciences > Genetics
Life Sciences > Cell Biology
Language:English
Date:20 June 2019
Deposited On:31 Jan 2020 15:13
Last Modified:22 Apr 2020 22:30
Publisher:BioMed Central
ISSN:1474-7596
OA Status:Gold
Free access at:PubMed ID. An embargo period may apply.
Publisher DOI:https://doi.org/10.1186/s13059-019-1738-8
PubMed ID:31221194

Download

Gold Open Access

Download PDF  'Essential guidelines for computational method benchmarking'.
Preview
Content: Published Version
Filetype: PDF
Size: 868kB
View at publisher
Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)