Sentence examples for community dataset from inspiring English sources

Reality mining methods are used to validate the model based on a real life community dataset.

Data on average distance to health facilities is obtained from the community dataset of the Kenya Integrated Household Budget Survey (KIHBS) that was carried out between 2005 and 2006j[47].

The LC data, which are derived from small scale Y2H studies (otherwise known as the "community" dataset) displays a narrow focus on a few proteins or an interactome sub-network.

As the inter-sample variation for the bacterial abundances was high and the microbiota data lacked normality, subsequent analyses employed ecological methods including non-metric multi-dimensional scaling (nMDS) and permutational multivariate analysis of variance (PerMANOVA) to assess the significance of circumcision on the full community dataset.

The resulting parasite community dataset was subjected to a linear transformation according to <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0000734.e001.PNG" class= inline-graphic"/>, where yij denotes the observation for parasite type j, on host i and yi+ is the sum of observations for host i [eq. 12 in 38].

We next tested GeneStitch with the artificial community dataset.

Yet, these studies were mostly descriptive due to inherent limitations of standard statistical analyses against large, non-parametric community datasets.

To what extent non-native species have exhibited similar climate change responses in other communities, however, is limited by the rarity of long-term community datasets that document species' phenological responses [19].

Studies adopting the original LSA technique have shown interesting and novel discoveries for microbial community datasets.

By comparing bacterial and fungal community datasets, we explore whether ecological and spatial factors structure soil microbial communities, and, if so, how bacterial and fungal communities differ.

The FAMeS artificial datasets (http://fames.jgi-psf.org/description.html), are mock metagenomic community datasets composed of random reads from 113 isolate microbial genomes.