Sentence examples for datasets are read from inspiring English sources

The R and S datasets are read as plain text from HDFS and delivered to two separate concurrent flatMap transformations, identifiable by the input source file.

Study population datasets are read into SAS macros which select patients and enroll them into a study based on the specific design criteria if the study is open to enrollment.

Regarding the performed FDG-PET/CT studies, the acquired functional and morphological datasets were read separately.

Using source-partition images for both datasets, all SSFP MRA datasets were read at the first session, followed by all CE-MRA datasets at the second session.

The dataset is read from a XRFF file (IN XRFF).

Notice that all of the datasets can be read directly by val3dity, i.e. without any format conversion necessary as a pre-processing.

Multiple datasets can be read in at one time and the user can select which ones they would like see in a scrollable list.

The value of is specific to a dataset, so it is read from the file that contains the projection data.

The next two datasets are paired Illumina-like read datasets, which Mason simulated with parameters 'illumina -hn 2 -sq -rn 2 -mp -ll 375 -le 100 -n 100 -N 1000000' and 'illumina -hn 2 -sq -rn 2 -mp -ll 375 -le 100 -n 150 -N 1000000'.

The read coverage for each dataset is 0.086 reads per base in Rsa I, 0.048 reads per base in Hinc II, 0.040 reads per base in Gu and Fire, 0.44 reads per base in Valouev et al., 0.58 reads per base in embryos, 0.84 reads per base in adults, 0.67 reads per base in germlineless adults, and 0.58 reads per base in the nucleosome-free control experiment.

Among them, 9 long reads datasets are generated as described in [ 27, 36].