Sentence examples for datasets our method from inspiring English sources

In both datasets our method successfully detects processes operating on several different time scales.

Compared to a phylogenetic footprinting (PF) based method on several datasets, our method shows comparable or even better prediction accuracy.

When compared with the state-of-the-art prediction models in the two benchmark datasets, our method demonstrates better performance.

Based on experiments using both synthetic and real datasets, our method demonstrates significant improvements in the information content scores of the probabilistic models.

On testing datasets, our method LRAcluster (low-rank approximation based multi-omics data clustering) runs much faster with better clustering performances than the existing method.

For one of the datasets, our method was able to identify 86% of the variants identified by individual sequencing with a false positive rate of 5 6%.

For all images in the two standard datasets, our methods are compared with several most relevant and state-of-the-art methods, including TagProp [3], pLSA [13], GM-pLSA [27], GM-LDA [29], Corr-LDA [29], topic regression multimodal latent Dirichlet allocation (tr-mmLDA) [30], and css-LDA [16].

In these datasets, our methods identified the single genes or gene pairs that perform well in distinguishing different classes of cancer.

On small datasets, our methods can be implemented in readily available software such as Mendel [ 29], accounting for the uncertainty in the individual assay results through the penetrance function.

Applied to a commercial codling moth dataset, our method shows promising performance both qualitatively and quantitatively.

On this CinC dataset, our method performed well relative to the winning entry.