Sentence examples for data score of from inspiring English sources

Figure 3 shows the average single base validation data score of the final network in the range [−600 to 600] around the known TSS position compared to the average score for negative examples.

Cells exposed to medium from chelated DDs had a larger increase (3.89%, 3.88%, 3.98%, 4.97% and 5.3% increase for HGF and 9.88%, 9.69%, 11.22%, 12.91% and 12.83% for HaCaT at ZA 0.5, 1, 3, 5 and 10 μM, respectively) compared with the NM control (raw data score of control cultures were averaged over three separate runs: 194 and 272 cells per 10,000 events in HGF and HaCaT cells respectively).

The chelated models of fresh HaCaT cells exposed for 24 hours to medium from chelated DDs demonstrated a combined decrease in cell proliferation (12%, 14%, 19.4%, 19.9% decrease at ZA 1, 3, 5 and 10 μM, respectively) compared with the NM control (raw data score of control cultures were averaged over three separate runs: 156 and 352 cells per 10,000 events in HGF and HaCaT cells respectively).

Results at 24 hours showed that fresh HaCaT cells exposed to medium from non-chelated DDs treated with ZA (0.5, 1, 3, 5 and 10 μM) failed to demonstrate a significant difference in cell proliferation from the NM control (raw data score of control cultures were averaged over three separate runs: 156 and 352 cells per 10,000 events in HGF and HaCaT cells respectively).

The collection and analysis of both continuous and categorical data (scores of biomarker expression) to investigate whether they had an effect of overall agreement.

Our results can be used for the transformation of the currently available outcome data (scores) of different treatment options for ACL patient to the utility values.

The data scores of patients who died were valued zero if the patient died in the first 4 weeks of a measurement period or in any of the consecutive measurement periods.

In the case of missing data, scores of the non-missing items for each case were added and the mean value was used to impute for the missing values.

The algorithm including integration of data, scoring of nodes and methods for network search and visualization are implemented in the open-source R package [ 35], available from http://bionet.bioapps.biozentrum.uni-wuerzburg.de/ and the Bioconductor project [ 59].

Data held include patient demographic data, Townsend score of socio-economic deprivation, as well as their medical and prescribed-drug histories.

For each data source, the edge weight used to calculate these topological features is the data source score of the edge.