Essential guidelines for computational method benchmarking-Reference-Cited by-同舟云学术

Essential guidelines for computational method benchmarking

Published:2019-06-20 Issue:1 Volume:20 Page:
ISSN:1474-760X
Container-title:Genome Biology
language:en
Short-container-title:Genome Biol

Author:

Weber Lukas M.,Saelens Wouter,Cannoodt Robrecht,Soneson Charlotte,Hapfelmeier Alexander,Gardner Paul P.,Boulesteix Anne-Laure,Saeys Yvan,Robinson Mark D.^ORCID

Funder

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Silicon Valley Community Foundation

Universität Zürich

Fonds Wetenschappelijk Onderzoek

Deutsche Forschungsgemeinschaft

Bundesministerium für Bildung und Forschung

International Society for Advancement of Cytometry

Publisher

Springer Science and Business Media LLC

Link

http://link.springer.com/content/pdf/10.1186/s13059-019-1738-8.pdf

Reference109 articles.

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2. Boulesteix A-L, Binder H, Abrahamowicz M, Sauerbrei W. On the necessity and design of studies comparing statistical methods. Biom J. 2018;60:216–8.

3. Boulesteix A-L, Lauer S, Eugster MJA. A plea for neutral comparison studies in computational sciences. PLoS One. 2013;8:e61562.

4. Peters B, Brenner SE, Wang E, Slonim D, Kann MG. Putting benchmarks in their rightful place: the heart of computational biology. PLoS Comput Biol. 2018;14:e1006494.

5. Boulesteix A-L. Ten simple rules for reducing overoptimistic reporting in methodological computational research. PLoS Comput Biol. 2015;11:e1004191.

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