Sentence examples for and pooling of datasets from inspiring English sources

After imputation and pooling of datasets, the age- and gender 10-year risk estimates for CHD increased for both groups (South Asians: 20.9 (19.7-22.1)%, Norwegians 19.9 (18.7-21.1)%, but ethnic differences remained insignificant.

This work led by economists who established the Social Science Genetic Association Consortium (SSGAC) involved the development of large networks of researchers and pooling of multiple datasets containing genetic information.22 The primary aim is to conduct large-scale genome-wide association studies on a number of training data sets and examine if the results replicate in other studies.

Thus, on the artificial data there is a clear synergetic effect associated with pooling of datasets.

The generation of a transcriptome map of the relative 'A'/'B' ratio expression, allows the easy investigation of regional differential expression without the need to generate the results separately for the two datasets or pool of datasets and to devise additional calculations to compare them.

Finally, a powerful feature of TRAM is its ability to compare, within the same analysis, the transcriptome maps derived from two datasets (or two pools of datasets) related to different biological conditions (indicated as 'A' and 'B'), such as two tissues or cell types, two developmental stages, normal vs pathological cells or cells maintained in absence or in presence of a substance.

We chose to study pediatric ALL because there is already a substantial pool of datasets freely available in the public domain.

The SCORE system was developed by the SCORE project group [ 8] who assembled a pool of datasets from 12 European cohort studies in order to calculate separate risk functions for high and low risk regions of Europe.

Based on a pool of datasets from 12 European cohort studies, mainly carried out in general population settings, European experts performed the Systematic COronary Risk Evaluation (SCORE) project to develop a risk scoring system for use in the clinical management of CV risk in European clinical practice [ 12].

As a next step we applied the DLCV framework on each potential pooling of the datasets, and assessed the DLCV error.

It also prevents pooling of small datasets for analysis.

If direct pooling of the datasets would be allowed, such a meta-analysis would not yield the optimal result.