Sentence examples for merged datasets from from inspiring English sources

We analyzed data from NHAMCS, using the merged datasets from 2005 and 2006, with no exclusions.

In addition, the detected genes from the merged datasets from 5 randomly selected single cells (downsampled 0.4 million reads per cell) were also compared with those from bulk RNA (downsampled 2 million reads) and were repeated for 5 times (Fig.  2a and Additional file 1: Figure S5).

In this work, we investigate whether increasing the number of training samples by merging datasets from different imaging modalities can be effectively applied to improve predictive performance.

The purpose of the Dashboard project was to design a webapp capable of seamlessly merging datasets from a wide variety of sources without the need for complex mathematical and statistical packages such as R and Mathematica.

The EMA policy would in principle enable requesters to merge datasets from different trials and to generate pooled datasets.

Merging datasets from different studies bridges biases, leads to identification of robust survival factors [ 16] and eases concerns about the instability of mRNA data [ 17, 18].

Indexing of different crystals, where possible, revealed large deviations in the long cell axis, eliminating the possibility of merging datasets from different crystals.

Future studies will need to increase their sample sizes through merging datasets from different studies and establishing long-term multi-centered collaborations.

A disadvantage of merging datasets from different studies is that it may cause over-fitting of data and erroneous results while studying biomarkers identified using other platforms such as Illumina technology [ 1].

In the context of the International Social Survey Programme (ISSP) a data wizard was developed to merge ISSP country data sets into one harmonized and integrated internal analysis file, by detecting and cleaning deviations versus a pre-defined standard template[ 13].The wizard, in a user friendly interface, addressed the technicalities of merging datasets from different sources.

Merging datasets from different studies leads to identification of robust survival factors, and applying tests that predict clinical outcome for patients based on RNA abundance in tumors is likely to increasingly affect patient management, heralding a new era of personalized medicine [ 31].