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The term "linkage relation" is correct and commonly used in written English.
It refers to a connection or association between two things or concepts. You can use "linkage relation" in a variety of contexts, such as in scientific or academic writing, in discussions about social connections or relationships, or even in business contexts when discussing partnerships or collaborations. Example: "The researchers found a strong linkage relation between genetic traits and personality traits."
Exact(7)
The athletic hierarchical linkage relation and data structure are described.
Although the conditions for invasion and for fixation if sufficiently frequent are independent of the linkage relation between the two loci, the rate of spread depends strongly on it.
We therefore limit a details discussion to the two-sided linkage relation.
Moreover, when the distance between two SNPs is greater than 40 bp, the linkage relation between SNPs is nearly random).
Two tDNAs are associated by the single-sided linkage relation if there is at least one homology relationship between their pre-selected flanking genes.
2. Two tDNAs are associated by the two-sided linkage relation if there is at least one pair of homologous genes in both the up-stream and the down-stream region.
Similar(52)
Initially, concept lattice was built from linkage relations between Blogs, then clusters were divided from the lattice based on equivalence relation, finally communities were clustered in each cluster based on the similarity of concepts [63, 64].
Genetic maps order polymorphic markers linearly on chromosomes; the aim is to have these markers densely enough situated that linkage relations can be used to locate chromosomal regions containing genes of interest to researchers.
Evolutionary information in the 5'-NCS was sufficient for several formal computational methods to produce dendrograms in accordance with the existing classification of solanaceous rbcS loci based descriptively on sequence similarities, intron features and linkage relations [ 25, 27, 67].
Feedback from interviewers indicated that data linkage in relation to benefits and earnings was the most problematic element and was often questioned by participants.
The full meta-analysis, however, indicates strong evidence for close linkage in relation to a meta-QTL for drought avoidance above a meta-QTL for root traits.
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