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This software identifies the accomplishment degree of the requirements by the quality characteristics by means of the computed global index of the method, called offset.
This software identifies functions and pathways most significant to the data set in two ways: the number of differentially expressed genes included in a pathway or function and calculation of a p-value using a Fisher's Exact Test to determine the probability of the association of the data set.
This software identifies signal by thresholding key intensity values.
This software identifies with 99% accuracy heterozygous nucleotide positions, by employing an algorithm that incorporates measures of peak height, peak intensity, and background noise from ABI electrophereograms.
This software identifies the target peaks based on the retention time of the signal peaks of the IS peptides in each analysis.
The 22 stringently identified genes were evaluated with the online software Database for Annotation, Visualization and Integrated Discovery of the National Institutes of Allergy and Infectious Diseases; this software identifies groups of genes that are overrepresented using an unbiased algorithm based upon the Gene Ontology classification (Huang da et al. 2009).
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This software identified the best model to use to analyze the data.
This software identified various droplets in a data trace and generated various statistics obtained from the data collected from each droplet.
In this way, the software identifies which meteor trails have been simultaneously recorded from at least two different locations.
In this region (= reading frame) the software identifies the lumen/intima and the media/adventitia borders and calculates the distance in between, i.e. the carotid IMT.
After the software identifies the song by name and artist, it creates a list of the titles.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com