Publication: Essential guidelines for computational method benchmarking
Essential guidelines for computational method benchmarking
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Weber, L. M., Saelens, W., Cannoodt, R., Soneson, C., Hapfelmeier, A., Gardner, P. P., Boulesteix, A.-L., Saeys, Y., & Robinson, M. D. (2019). Essential guidelines for computational method benchmarking. Genome Biology, 20, 125. https://doi.org/10.1186/s13059-019-1738-8
Abstract
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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 resu
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- Weber, Lukas M
- Saelens, Wouter
- Cannoodt, Robrecht
- Soneson, Charlotte
- Hapfelmeier, Alexander
- Gardner, Paul P
- Boulesteix, Anne-Laure
- Saeys, Yvan
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Weber, L. M., Saelens, W., Cannoodt, R., Soneson, C., Hapfelmeier, A., Gardner, P. P., Boulesteix, A.-L., Saeys, Y., & Robinson, M. D. (2019). Essential guidelines for computational method benchmarking. Genome Biology, 20, 125. https://doi.org/10.1186/s13059-019-1738-8
