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The HDMR expansion is an efficient formulation for high-dimensional mapping in complex systems if the higher order variable correlations are weak, thereby permitting the input output relationship behavior to be captured by the terms of low-order.
In addition, and more broadly, this study has illustrated the potential utility of our new weighted pSGS method and extended pedigrees for gene mapping in complex diseases.
Our findings highlight the applicability of HH mapping in complex disorders such as ASD and offer an alternative approach to the analysis of genome-wide association data.
Our analyses have provided several loci of interest to pursue in these high-risk pedigrees and illustrate the utility of the weighted pSGS method and extended pedigrees for gene mapping in complex diseases.
We exploited these resources by mining the data available from each of these databases to prioritize potential candidate SNPs useful for admixture mapping in complex human diseases and traits.
Despite the significant power of genetic mapping in complex traits using eQTLs approach, there are many other factors may affect gene expression, such as the transcript stability, epigenetic effects, environmental stimuli, drug exposure, populations, and clinical covariates [ 17, 36, 39, 40].
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The results demonstrate the power of the technique, and pave the way to wider application of this approach to cross-sectional strain mapping in complex-shaped components under various loading conditions.
In the future work, we will utilize more information such as visual saliency or use blur information to determine the initial depth map to deal with depth map in complex scenes more precisely.
High-throughput sequencing has transformed the analysis of transcription factor function allowing for the first time the production of genome-wide binding maps in complex mammalian genomes.
Assuming that results were not unduly biased by missing and erroneous genotypes (which can be a concern when using CRI-MAP in complex pedigrees [ 2, 30]), it appears that the elevated recombination rates observed in domestic sheep are a characteristic of Ovis species rather than a consequence of domestication.
Applying homeomorphic mapping theorem in complex domain, we presented some sufficient conditions to guarantee the existence of a unique equilibrium point for the complex-valued neural networks.
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