.png){kind=icon}
Return
Essential guidelines for computational method benchmarking
.png){kind=icon}
OA
AI
DOI：10.1186/s13059-019-1738-8.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
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.
Keywords:
DIFFERENTIAL EXPRESSION
REPRODUCIBLE RESEARCH
METAANALYSIS METHODS
DATA SETS
RNA
BIOINFORMATICS
METAGENOME
SOFTWARE
SEQUENCE
DESIGN
Journal
G
IF:
9.4
Papers:
6.4K
Citations:
9.1W
Organization
Cited Papers
ShareSaveExploring genomic dark matter: A critical assessment of the performance of homology search methods on noncoding RNA.png)
GENOME RESEARCHOAAI
GENOME RESEARCHIF5.5
OAAIShareSaveThe MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurementsNATURE BIOTECHNOLOGYOAAI
NATURE BIOTECHNOLOGYIF41.7
OAAIShareSaveSensitive detection of rare disease-associated cell subsets via representation learningNATURE COMMUNICATIONSOAAI
NATURE COMMUNICATIONSIF15.7
OAAIShareSaveThe MicroArray Quality Control (MAQC)-IIII study of common practices for the development and validation of microarray-based predictive modelsNATURE BIOTECHNOLOGYOAAI
NATURE BIOTECHNOLOGYIF41.7
OAAIShareSaveThe Evaluation of Tools Used to Predict the Impact of Missense Variants Is Hindered by Two Types of CircularityHUMAN MUTATIONOAAI
HUMAN MUTATIONIF3.7
OAAIShareSave
View more