Sentence examples for data to count from inspiring English sources

Once more, we used the teaching log data to count how many days featured a single discipline and how many days were multi-disciplinary in nature (Table 3).

We constructed a symbolization of the gait data to count the steps using Piecewise Aggregate Approximation and compared the estimated step counts with observer counted steps from video recordings.

The software identifies annotated alternative splicing events and then uses the RNA-Seq data to count reads supporting alternative splicing choices associated with each event.

Amy Hagopian et al. use professional association data to count the number of African-trained physicians from nine sending countries practicing in two receiving countries (the US and Canada) [ 7].

For these regressions, we no longer had a panel data structure because we collapsed the 6 years of data to count the number of ED visits by unique patient ID, but we continued to take the natural log of the dependent variable to reduce positive skewness.

This approach, although not taking full advantage of the 2D image data provided by the endoscope, provided a robust means of quantifying disease progression while avoiding potential pitfalls of extensive automated manipulation of large sets of image data to count and measure individual nodules in sets of images.

A state panel is determining how much student-achievement data ought to count in Illinois, but districts may choose to make it a larger part of a teacher's evaluation than what the state recommends.

For single channel data, expression levels are normalized to count data, reflecting the relative measure of abundance of each transcript.

A continuous model, despite not addressing the integer nature of the data, may be successfully applied to count data, predominantly when the distribution is wide with high counts.

Capita's solution will be expected to capture and store passenger counts data supplied by TCOs and allow data from other data sources to be imported and linked to count data.

EdgeR transforms the gene expression count data to pseudo count values using a quantile-to-quantile normalization, followed by an exact test for a negative binomial distribution to determine differentially expressed genes.