Sentence examples for different source of datasets from inspiring English sources

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This result was probably caused by using a different source of datasets when they adopted the sc-PDB (a database derived from the PDB).

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Following this procedure, we were able to identify one robust pathway that stratified prognosis across all five different sources of datasets; the p38 pathway demonstrated consistent behavior across all datasets.

Considering the different source of the two ES cell datasets (H1, male cell line, for expression data and H9, female cell line, for ChIP-Seq data), X-chromosome linked genes were excluded from the analysis.

This MCS dataset does not overlap known human coding regions and thus represents a different source of putative functionally important regions.

We established five datasets based on different sources of transporter proteins from various species: MTP-TRN1380, MTP-TST180, HTS380, HMTP494 and PSPGO649.

Different sources of epistemic (systematic) uncertainty are associated with HIMs and the volcanic impact dataset (Rossetto et al. 2014a).

Data analysis of different sources of information is not simply a matter of adding the analysis of each separate dataset; instead it consists of the simultaneous analysis of multiple variables in the different datasets [ 7].

The SHARE dataset includes information on 'gross total annual household income', including many different sources of income [ 16].

To create a dataset of individual-, fandly-, and community-level variables, we merged three different sources of data from the tea estates.

Since GLEAN weighs different sources of gene prediction evidence based on agreement among sources, without a priori information on the quality of individual input gene prediction sets, the choice of input datasets impacts the results.

There are certainly significant computational and algorithmic challenges, but at a more basic level, differing applications driving the quest for orthologs has led to differing definitions of orthology (particularly with respect to subcategories, such as in-paralogs or co-orthologs), the use of different source datasets and different metrics for evaluating performance.

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