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Modification identification was measured with the database search accordingly and peptide identifications were validated with Proteome Discoverer 1.4.
10 Olfactory identification was measured using the full University of Pennsylvania Smell Identification Test (UPSIT), which includes 40 encapsulated odors.
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Microstructure and phase identification were measured using X-ray diffraction and quantitative optical microscopy which found that all samples had a dual phase austenite-ferrite composition.
The contributions of the selected metrics to authorship identification were measured by a statistical process, namely canonical discriminant analysis, using the statistical software package SAS.
The sequence and therefore protein identification is measured relatively less often for peptide masses with a low intensity in the MS1 spectrum [3].
Apart from detecting peptides from proteins several times in different colonies (Dataset S3), confidence in our identification methodology was measured by controlling the false discovery rate (estimated to be about 0.25%) utilizing a decoy strategy.
Identification consistency was measured using two metrics.
The fraction of bacteria that were correctly/incorrectly identified as well as three representative results are shown in Table 2. To determine the cutoff for positive pathogen identification the background intensity was measured from human genomic DNA in the presence of nonligated circle.
Strength of identification with the referent group was measured (Study 1) or manipulated (Study 2).
The distance between the most proximal point of the greater trochanter and the proximal apex of the shoulder of the prosthesis along the axis of the femoral stem on anteroposterior digital images of the hip joint was measured for identification of the stem subsidence.
The face validity was measured through the identification of ambiguous items by a group of diabetic patients, and minor changes in wording were made based on their comments.
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