Sentence examples for datasets demonstrate that different from inspiring English sources

Our experiments with the MDDR and WOMBAT datasets demonstrate that different ranking methods result in markedly different sets of retrieved molecules, with the numbers of retrieved molecules common across a set of search outputs dropping off rapidly as the number of searches is increased.

Rigorous experiments on five different applications including nine different datasets demonstrate that DTCTH has more discrimination ability than other existing state-of-the-art low-level descriptors.

Finally, some experiments on two different datasets demonstrate that the proposed attention CNN models achieve the best or the next-best results against the existing state-of-the-art models.

Extensive experiments on real-world datasets demonstrate that our approach obtains significant gains.

Experimental results on benchmark datasets demonstrate that the proposed system is robust and efficient.

Using our own datasets as well as data from recent proteomics literature we demonstrate that different dominant pathways (EGF, TGFβ, stress, and Fas pathways) can be correctly identified even from limited datasets.

From a bioinformatical perspective, we demonstrate that different SNP callers lead to substantially different SNP datasets, in spite of applying rather conservative quality filters.

The results of this study demonstrate that different QSAR tools vary in the quality of predictions depending on the underlying algorithm and training datasets.

Secondly, we demonstrate that different researchers using different pathway analysis tools can come to different conclusions on specific mechanistic pathways, even when using the same datasets.

The multiple sequence alignment for a given protein family is usually different in the various standard collections of protein families and the disagreement between protein datasets demonstrates that all multiple sequence alignment methods produce errors.

The addition of Percophis, Chrionema and Pteropsaron to the molecular phylogenetic dataset demonstrates that the three "percophid" subfamilies resolve in different areas of the percomorph phylogeny.