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In practice, information sources of phenotypic data on training individuals can vary more widely than the examples derived in this paper.
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Four core examples derived from the work in our FDA laboratory are used to illustrate these points.
We present several examples derived from specific projects carried out in formal and informal educational contexts, in action research and from ethnographical perspectives.
Representative examples derived from gene-set enrichment analysis (GSEA) are shown in Figure 3.
The concepts developed in this presentation are applied to examples derived from the occupational environment.
For example, SNPs derived in the polar bear lineage were required to have at least one copy of an allele that differed from the alleles in both brown and black bears.
While the majority of these examples derive from studies in microbes, the technique is amenable to genomes of any size.
The new examples may be derived in a variety of ways (an up-regulated gene list, genes that contain a specific protein domain, protein-array experimentation).
Figure 4 A synthetic example, derived from the case analyzed in Figure 9, which describes the contributions of GCC-PHAT functions to the GCF computation.
In the simulation example derived from the starling experiment, we found that the QTL for overall power curves exerts significant effects on the speed for minimum power (LRmp = 101.5, P<0.001) and the speed for maximum flight range (LRmr= 102.2, P<0.001).
We now provide numerical examples to illustrate the results derived in Section 5.
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