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Formally, We tried a number of different values for based on real datasets and all resulted in similar performance.
Further research is required to study the trade-off between the bias and variance of these estimators in a series of simulations based on real datasets.
The experimental results based on real datasets have demonstrated that the proposed technique is truly more robust and efficient than traditional hierarchical clustering.
Finally, all our experiments were based on real datasets with all the potential complexities, such as sequence errors, heterogeneous sampling of reads from different organisms or different genomic regions, as well as biases arising from different techniques for sample preparation and sequencing.
We performed a simulation study based on real datasets to (1) determine whether stratified randomisation is necessary to maintain correct type I error rates after stratified randomisation in real trial scenarios, and (2) to compare different methods of adjustment in terms of type I error rate and power, irrespective of the method of randomisation used.
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The paper reports results based on real benchmark datasets from the literature.
In this section, we demonstrate an experiment based on real world dataset.
The purpose of this study was to compare methods for QTL detection and localization based primarily on real datasets for five traits and four species and complemented with some simulations that mimicked the real data.
The experiment, based on real-world datasets, demonstrates the superior performance of our recommendation approach for high-involvement products.
At last, we present case studies based on real-world datasets and real scenario to demonstrate the usefulness and effectiveness of our system.
The results of experiments based on real-world datasets demonstrate the effectiveness of SCIFNET and show that it outperforms many well-known community detection approaches and clustering algorithms.
More suggestions(15)
based on aggregated datasets
based on complex datasets
based on real events
based on real people
based on particular datasets
based on molecular datasets
based on private datasets
based on real cases
based on specific datasets
based on national datasets
based on clinical datasets
based on real footballers
based on similar datasets
based on large datasets
based on different datasets
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