Sentence examples for dataset partitioning from inspiring English sources

The scheme presented in this paper does not consider dataset partitioning in the cloud because user's rating data are not stored in the cloud at all.

As in the previous section we first employ an initial dataset partitioning in which the expression data is split into its annotated genes and unannotated ORFs.

Dataset partitioning for concatenated BI runs (i.e., MrBayes) ranged from the most simple (unpartitioned) to highly complex (11 partitions; Table  1).

In our case, the Bayes factors showed that phylogenies based on the best-fit model (oPS1-12) have better performance (Table  1), and these results confirm that although the mitochondrion evolves as a single gene because of maternal inheritance, dataset partitioning and model selecting are both important treatments to evaluate the phylogeny.

We follow the dataset partition as Schuldt et al. [26] did, which is widely used.

Our prior scheme is applicable to pure horizontal and pure vertical dataset partitions.

The top 500 ranked peaks and the smaller dataset partitions were searched using MEME [ 76] to detect any overrepresented motifs.

Concatenated maximum likelihood phylogeny inferred using RAxML, from the full 29 species, 107 locus dataset, partitioned by gene.

For the dataset partitioned only by gene and codons, we applied to each partition the GTRGAMMA (GTR+ Γ) + Invariant site option.

Phylogenetic estimates using ML were performed using both the combined, unpartitioned dataset as well as the combined dataset partitioned by locus (Additional file 2: Table S2).

Dataset partitions should be modeled individually to avoid error in phylogeny estimation reflecting the application of an average substitution model to multiple heterogeneous processes [ 42, 43].