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The DDM technique for superimposition data set generation allows selection of atoms that are invariant in all structures, is free from user bias, and represents the most accurate and precise method of producing such subsets.
Random data set generation to support microarray analysis.
These include finding a spurious pollution generating plant, downstream pollution monitoring, underground pollutant seepage tracing, and nuclear power plant monitoring, provided an accurate simulator is available for data set generation.
The package creates automatically the data set generation script.
A complete description of the experimental design, data set generation and processing can be found in (Poussin et al., 2014).
It (raw data and phenodata) is already available in the AE database and can easily constructed by the analyst from the data set generation script.
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Systematic large-scale data-set generation, using the same type of experiments that are used to decipher the function of single genes, are being applied on entire genomes.
Although satisfactory streamflow simulations were generated with each precipitation input model, the results of our study indicate that parameter uncertainty varied significantly depending upon the method used for precipitation data-set generation.
To investigate coexpression networks that comprehensively represent muscle transcription during pig development, we constructed gene coexpression networks from 20 next-generation sequencing data sets generated by Solexa/Illumina's genome sequencing technology [ 11].
Simulated data sets from generation 1400 were also analyzed with arlequin to assess levels of LD.
No significant LD between marker alleles and the inversion was found in the simulated data sets at generation 1400 when the higher rate of gene exchange was used (mean r = 0.02, much lower than the observed values in Figure 6).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com