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More sophisticated studies of the genetic architecture of eye size differences rely on quantitative trait locus (QTL) analysis.
Differences rely in technological (e.g., sensory modes and networking), system-level (e.g., modularity and scalability) and representation (e.g., data structures, coherency and access efficiency) aspects.
It appears to us that quantitative differences rely on the sustained traffic of APCs that likely occurs in the CSF of EAE rats and which cannot be mimicked by a single intra-CSF injection of labeled DCs.
Distribution-based approaches for estimating important differences rely on the assumption of normality, and ceiling effects particularly in healthier patient populations produce skewed score distributions.
The main structural differences rely on short peptide chains at the N-terminus of threonine and on a substituent of the tyrosine ring.
The structural differences rely on a combination of two pairs of amino acid residues: l-tuberactidine/ l-capreomycidine and l-β-lysine/γ-hydroxy l-β-lysine.
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Besides, they indicate that cross-gender popularity differences, relying solely on check-in data, might capture important aspects of gender inequality that emerge in sophisticated studies, such as GII.
We also compared group differences relying on a variety of graph-theory indices (clustering, characteristic path length, global and local efficiency and strength) for the whole network as well as for the sub-network derived from NBS analyses.
Due to cultural differences, relying on western studies might not be appropriate.
Analyzing adaptive functions of fixed differences relies on genotype phenotype correlations involving natural mutational variation, or experimental, effects at the sites or gene of interest.
Because the consistency and efficiency properties of the standardized mean difference rely on large sample statistical theory, we excluded samples which had an immigrant sample size (nI) less than 30.
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