Sentence examples for dataset stemming from from inspiring English sources

In fact, our analysis of the yeast eQTL dataset stemming from GFlasso provided new insights into the complex interaction between genetic variations and the transcriptome in yeast.

Of course, our dataset stems from species inhabiting a single small twig of the tree of life.

A significant challenge during acquisition of a 3D dataset stems from the fact that a dataset is acquired by scanning the sample through the (non-moving) light sheet.

With respect to our analysis of NCMS, the uniqueness of this dataset stems from its panel nature and the information it gathers about health expenditures and reimbursements.

The asymmetrical behaviour of the predictive power (that is, the WT and the Sln1 schemes were good in predicting Sln1 and WT validation data, respectively but none of them could achieve good predictions on the Sho1 validation dataset) stems from an underlying biological property which is the inequality of the two phosphorylation branches in the model.

Notably, ~98% of the large (> 500 bp) and all of the contigs greater than 1, 500 bp in length were identified by BLAST searches (Table 1, Figure 1), thus the relatively low annotation rate of the dataset stems from an inability to identify relatively short contigs.

The technique is illustrated on various toy problems as well as on datasets stemming from simulations of molecular dynamics and of atmospheric flows.

The large datasets stemming from genomic data are particularly amenable to analysis by distributed systems.

The original dataset that stems from a "High-Resolution study" of nine French cancer registries consists of 1016 incident cases of colon cancer (caecum to rectosigmoid junction; C18 and C19 according to the International Classification of Diseases for Oncology, 3rd revision) diagnosed in 1995 and treated with curative intent (surgery or endoscopic resection).

It should be noted that all compiled datasets largely exist of data stemming from the latest years that the set covers, and only few cases from earlier years have been added to meet the sampled countries in the MGI dataset.

In this paper, we specifically focus on the challenges stemming from the high dimensionality often encountered in biomedical datasets.