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The retinal and choroidal thickness maps were overlap to the modified ETDRS grid (6 - 6 mm) to study the different mean values of each sector (Figure 1).
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The diversity and evenness maps were overlapped with the forest type map and the results of overlapping with area under each class are presented in Table 5 and Table 6 respectively.
Next, the thickness maps were overlapped to the EDTRS grid (6 × 6 mm) to obtain the values for each sector [ 3, 11].
For the evaluation, a robot 2D map and the aerial map were overlapped based on their respective GPS coordinates.
The extracted road map is overlapped on original satellite input image, and it is given in Figure 4h.
These findings support the idea that global DASE profiling mapping could be a powerful approach to validate GWAS findings when the DASE loci map is overlapped with existing data from GWAS [ 44].
The individual-level maps were overlaid and the overlap probability across the subjects was calculated on a voxel-by-voxel basis.
Uniquely mapped reads were overlapped to define binding clusters.
This study revealed a good agreement between the produced diversity and evenness maps when they were overlapped with the forest type map of Majella.
Lesion overlap maps were constructed by generating a proportion overlap score at each voxel (lesion/no lesion) ranging from 0 to 1.
The purpose of these starting points and the use of up to-date maps were to minimize overlaps and exclusion due to lack of planning and congestion.
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