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Disorder-gene mapping relied on affiliation [61].
This mapping relied on the availability of the component T, N and M codes, whereas in England, only TNM stage I IV data were available.
The mapping relied on field work, visual interpretation of Landsat TM and ETM+ satellite images in the Peruvian lowlands and areas of Bolivia, and spatial modelling and image classification for upland areas in Peru.
For bird species, most of which are still in a wild status, LD mapping based on random samples drawn from a natural population is a better choice for QTL mapping than linkage mapping relied on the availability of well-designed pedigrees.
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Prediction of soil attributes and soil classes in digital soil mapping relies on finding relationships between soil and the predictor variables of soil-forming factors and processes.
Several results regarding existence and approximation of a fixed point of a mapping rely on convexity hypotheses and geometric properties of the Banach spaces.
Similar to traditional QTL mapping, genome-wide association mapping relies on the strength of linkage disequilibrium (LD) across a diverse population, and aims to identify relationships between markers and functional polymorphisms that determine traits of agronomic, aesthetic, and evolutionary interest.
Genotyping based genetic association analyses, which are dependent on indirect linkage disequilibrium (LD) mapping, rely on the common disease-common variants (CDCV) hypothesis.
Many existing approaches of image mapping rely on spatial relations between entities of an image.
Like the Delphi and NGT techniques, Illness Mapping relies on the knowledge of experts.
However, reference-based mapping relies on the availability and accuracy of a reference sequence.
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