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On the optimistic performance evaluation of newly introduced bioinformatic methods.
Genome Biol. 22:152 (2021)
Most research articles presenting new data analysis methods claim that "the new method performs better than existing methods," but the veracity of such statements is questionable. Our manuscript discusses and illustrates consequences of the optimistic bias occurring during the evaluation of novel data analysis methods, that is, all biases resulting from, for example, selection of datasets or competing methods, better ability to fix bugs in a preferred method, and selective reporting of method variants. We quantitatively investigate this bias using an example from epigenetic analysis: normalization methods for data generated by the Illumina HumanMethylation450K BeadChip microarray.
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Benchmarking ; Illumina Humanmethylation450k Beadchip ; Neutral Comparison Study ; Normalization ; Optimistic Bias
ISSN (print) / ISBN
1474-760X
e-ISSN
1465-6906
Journal
Genome Biology
Quellenangaben
Volume: 22,
Issue: 1,
Article Number: 152
Publisher
BioMed Central
Publishing Place
Campus, 4 Crinan St, London N1 9xw, England
Non-patent literature
Publications
Reviewing status
Peer reviewed
Institute(s)
Institute of Epidemiology II (EPI2)
Grants
Deutsche Forschungsgemeinschaft