Sentence examples for merged data sets from inspiring English sources

Taken all these together, however, the improvement seen with selectively merged data sets is relatively modest as compared to the prognostic power generated from the merged data sets composed of all OS single data sets.

We use survival prediction based on Cox regression as an assay to measure the added value of merged data sets.

(4) The merged data sets' hypervariable regions were then hand curated using splicer, a tool we developed and made available on the Web as part of our pipeline TORNADO at http://tornado.igb.uiuc.edu/.igb.uiuc.edu/

In most studies, the concordance between the merged data sets and their interpretation in the context of biological pathways and regulatory mechanisms are investigated.

The omit map densities for the post-refined diffraction data sets using the complete set of 177 diffraction images and the randomly selected subset of 100 diffraction images (83% complete) clearly show the entire Fe-S cluster whereas the densities using the averaged merged data sets are much poorer.

To determine if there is an overall relationship between mtDNA copy number and 5mC/5hmC at exon 2 of POLGA, we merged data sets from Figures 1, 2 and 3. Treatment with 5-azaC and VitC produced a 2.0 to 2.5-fold shift in the ratio of mtDNA copy number as a function of 5mC/5hmC.

We consider the merged data set: K = [ K1, K2,..., K J ], where each K j corresponds to an 'Omics' data table.

A recent analysis of a high confidence merged data set representing 12 independent HTP studies, called the 12 HQ data set, suggested that the yeast phosphoproteome is gradually approaching saturation because the average overlap of phosphosites between any two experiments is 12%, whereas the overlap between phosphoproteins in total is 28% (35).

The crystals of the bosentan-bound ETB-Y4-mT4L were quite tiny (Supplementary Fig. 1e), but an automated data-collection and processing system (K.Y., G. Ueno, K. Hasegawa, M. Yamamoto and K.H., unpublished data) allowed us to collect and merge data sets from numerous crystals.

Leaders, however, should ensure there is a clear plan and infrastructure in place to collect and merge data sets across the institution.

"This means making it easy for the people to upload, to merge data sets, to discuss the data, to create visualizations and then to take these visualizations and put them elsewhere on the Web".