Building a model will normally require various parameters, one or several datasets, as well as a set of features.
Although there are several datasets as completely described in [13], some patterns for cleavage have been elicited particularly in the 746-dataset.
In this article by contrast, the input uncertainties have been estimated from several datasets as described in the Supplementary Information.
We validate our proposal against the state of the art in terms of computational efficiency and accuracy on several benchmark datasets, as well as by showing how our method enables real-time reconstruction and segmentation of diverse real indoor environments.
In Section 3, we demonstrate the effectiveness of our methods on several artificial datasets as well as experimental data from two microbial genomes.
The proposed method is tested on several datasets such as EPFL, MSRA Action, CASIA, INRIA person, own recorded videos, Weizmann, KTH, UIUC, and Muhavi datasets, and we obtained the accuracy of 99.56, 100, 98.70, 98.80, 99.60, 99.30, 99.0, 99.0, and 99.40%, respectively (Fig. 9).
However, in several datasets, such as dataset 1, dataset 2 and dataset 6, the performances are improved greatly by considering the two stages.
In several datasets, such as for Pin4, mmHG-Finder identified the consensus motif while other tools returned repetitive sequences as their top results.
Several datasets of DEGs as potential heterosis-associated genes as well as possible molecular mechanisms have been collected from major tissues, such as leaves, roots, and panicles [ 10, 14].
As several datasets for muscle performance and cytokines were not normally distributed non-parametric procedures (with exact testing) were used: Spearman's rho for correlations, Mann Whitney U test for unpaired comparisons, Friedman test for overall time effects, and Wilcoxon's signed rank test for changes relative to baseline.
We have used published data or data available from the Gene Expression Omnibus (GEO) of the U. S. National Center for Biotechnology Information, as well as specifically generated data, to simultaneously analyze several datasets containing information on various pathologies, including datasets with many histological subclasses.
