Sentence examples for datasets were sorted into from inspiring English sources

Datasets were sorted into groups by type of imaging, which were then subdivided by target of evaluation (per-patient or per-segment).

These datasets were sorted according to expression of WNT genes using the BreSAT algorithm.

The acquired data (about 1000 images) were sorted into 10 datasets correlating with 10 phases of the respiratory cycle.

Prior to data analysis, the sequence reads from this dataset were sorted by MID-tag into the original four libraries.

The Si samples to study were sorted into two groups.

The EEG segments were sorted into three different classes.

Cells were sorted into lysis buffer.

The reads were sorted into seven libraries.

Answers were sorted into four categories.

Cells were sorted into PBS/0.01 % Triton X-100.

Based on commonalities, the codes were sorted into categories [ 23].