Sentence examples for each sample were identified from inspiring English sources

A total of ten pixels from each sample were identified as the region of interest (ROI), and the mean reflectance values of ROI were calculated.

All individuals in each sample were identified.

Sequence reads associated with each sample were identified by their respective indices.

Putative CNV intervals in each sample were identified using Agilent CGH Analytics software ver. 4.0.76.

Prior to statistical analysis, 45,102 microarray data in each sample were identified both "Present" for Detection Call or "Increase" for Change Call based on a software analysis.

Genomic regions enriched with H3K27me3 nucleosomes relative to the input control for each sample were identified by using cisgenome (Ji et al. 2008).

Each sample is identified by a unique sample ID that links it with information from questionnaires, examinations, and electronic medical records.

Each sample was identified by the specific DNA-band pattern formed by the DNA fragments with defined number and size which marked the sample's genetic characteristics.

The threshold cycle for each sample was identified as the point at which the fluorescence generated by degradation of the TaqMan probe increased significantly above the baseline.

The metabolic potential of each sample was identified by examining the similarities between the metagenomic sequence fragments and genes in metabolic subsystems.

Each sample is identified and registered in a database.