Sentence examples for multiple datasets including from inspiring English sources

The integration of multiple datasets including land use change by usage of satellite imagery and field data, forest vitality, and biodiversity may contribute to better understanding the dynamics of incidence of some zoonotic diseases.

Here we revisited the raw datasets of these GWAS and performed an integrated gene network analysis to unveil the relationship between T2D and CAD by combining multiple datasets including protein protein interaction (PPI) database, publication libraries, and pathway datasets.

More sophisticated epidemiologic analyses of these multiple datasets, including capture-recapture and multiplier methods, could provide a more accurate estimate of the hidden population of opioid users who do not appear in any existing data sources.

HumanNet (Lee et al., 2011) is a large-scale functional gene network which incorporates multiple datasets, including mRNA expression, protein protein interactions, protein complex data and comparative genomics (but not disease or phenotype data).

However, our prediction method was based on a published statistical model that was validated using multiple datasets, including compiled sets of co-regulated genes and multiple ChIP-chip datasets [ 28].

Like other high throughput genomic data [ 11], this inevitable logistics can cause various batch effects as reported in the literature [ 2, 9, 12] and from our experience with multiple datasets including methylation data from TCGA.

Datasets including multiple genes include all Mitochondrial genes (MA), fourfold degenerate sites (4ds) of mitochondrial genes (M4), 4ds site of nuclear genes with no evidence of positive selection (N4N), 4ds sites of nuclear genes having evidence of positive selection (N4S) and 4ds sites of all nuclear genes (N4A).

Keywords used to categorize species-typical nest structure are summarized in table 1. > To account for the statistical non-independence of datasets including multiple species, we analysed data using the phylogenetic generalized least squares (PGLS) approach, which incorporates phylogenetic relatedness of species into the error term of a regression model [ 10].

The effect of the different factors on imputation accuracy was assessed by multiple regression across all evaluated datasets (including both dairy and beef breeds).

We found that RUNX1 expression was progressively reduced from low- to mid- to high-grade tumors in multiple datasets that include Ivshina breast dataset (n = 289, Figure 3B) and Lu breast dataset (n = 129, Supplementary Figure S3B).

Lastly, to identify the commonalities across multiple datasets, LinkinPath includes an algorithm to extract the frequent subnetworks from the pathway networks built in previous step.