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Using the map, a major QTL qCmB2 for dwarfism in C. maxima was identified and delimited to a 420-kb physical interval.
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Then, all local maxima were identified in the 3D image, and the maxima corresponding to background were removed by setting a minimal threshold for the local variation in intensity.
All local maxima were identified.
From this, all local maxima are identified and approximated by fitting a mixture of Gaussians.
The specific points of their maxima were identified by values that departed maximally from 1.0.
The positions of the SS band maxima were identified (by peak-picking) on all gels.
Maxima were identified in each ROI in the random effects analysis.
In the illustrative subject depicted in FIgure 3, a total of 374 cortical and subcortical local maxima were identified across both hemispheres (mean of 8 subjects: 415 and range across 8 subjects: 374 455).
Perfusion defect (segmental tracer activity <50% of maximum) was identified on the stress image first and was divided into ischemia (reversible defects: >10% increase in tracer uptake on the rest image compared with stress image) or scar (irreversible defects).
Now, each hypothesis is considered to obtain correlation energy as in (20), and maximum is identified.
In a few cases, no maximum is identified for the selected initial values.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com