A similar pattern in the Bland-Altman plots was found in 10 out of 23 glioma patients (44%%), in both the tumour regions and tumour-free regions of the brain (Fig. 5), indicating good agreement between the BPND parametric maps derived from the two input functions.
For each municipality, a unique predictive logistic regression model was derived from the association among remaining municipalities between elevation, land cover (preclassified maps derived from satellite images), or both, and the odds of at least one case being reported.
Therefore, it is possible that the difference between the CMS_RF map and the maps derived from field data that applied the CRM (i.e., Blackard, Wilson, and Saatchi), could be somewhat lower than calculated in Table 4.
Alignments between the optical and in silico maps, derived from IRGSP and TIGR sequence pseudomolecules or virtual contigs, enabled us to fully place such sequence data along map scaffolds.
Therefore, it is possible that the difference between the CMS_RF map and the maps derived from field data that applied the CRM (i.e., Blackard, Wilson, and Saatchi), could be somewhat lower than calculated in Table 4.
The parameter maps derived from QTI were compared between the groups, and 9 out of the 14 parameters investigated showed differences between groups.
The map aligner expects global similarity between the two maps and works well if the two maps to be compared are very similar – alignments can be made between optical maps against other optical maps, in silico maps derived from sequence, and consensus maps derived from contigs constructed by the map assembler from optical maps.
The thematic maps derived from these are topographic map, slope map, rainfall pattern, drainage map, and lithological and lineament map.
We therefore merged 10 maps derived from diverse parents to produce a composite genetic map.
The maps derived from single DNA molecules are combined to produce a consensus, genomic map.
