Exact(1)
Since mapping was based on different population designs (i.e. F1 or F2) and the total number of mapped markers varied between populations, a consensus order of loci common between mapping populations was determined and used as fixed order for mapping.
Similar(7)
In particular, we can define the concept of holomorphicity to first order (or, -holomorphicity to first order) for maps defined between almost complex manifolds, not necessarily equipped with any metric.
As in the nonparametric case, harmonicity to first order implies conformality to first order for maps defined on the two-sphere and even isotropy when the codomain is itself a real or complex space form [15].
Despite early concerns over the ability to map meaningful response traits in LCLs and questions about this model's relevance to toxicity studies of chemicals that require metabolism, our results suggest that large sample sizes on the order necessary for mapping human complex traits (Goldstein 2009)—can overcome challenges.
In this regard, we emphasize the importance of accuracy in landslide susceptibility maps, in order for these maps to be used as a basis for land use planning and mitigating future landslide hazards.
In order to ensure an accurate consensus marker order, fixed order anchor loci were used to define a fixed order for consensus mapping in JoinMap.
In order for 1D mapping to link X to Z and Y to Z, the absolute value of correlation, |corr X, Z)| and |corr(Y, Z)|, must be large enough.
The addressing has to be full and accurate in order for the maps to be useful and for taxation to be effective.
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