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Several results regarding existence and approximation of a fixed point of a mapping rely on convexity hypotheses and geometric properties of the Banach spaces.
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.
In cancer research, conventional strategies of somatic deletion mapping rely on the detection of frequent sites of larger DNA alterations.
QTL linkage and association mapping rely on genotypes and phenotypes that are preferably collected from a large-scale study.
Similar(55)
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.
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.
Disorder-gene mapping relied on affiliation [61].
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.
Single-sensor multiparametric optical mapping relies on the lack of cross-talk between dyes, which restricts possible parameter combinations.
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