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For each DO sample, this process yields two genotype transition files [designated left ("L") and right ("R")] from which a pair of homologs is reconstructed.
For each sample, this process generates five continuous-scale normalized subtype scores representing degree of Spearman correlation of gene expression with that of prototype Luminal A, Luminal B, Basal-like, HER2-E, and Normal-like breast tumors [ 6, 26].
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Because the identification of the active subspace for each individual output may require a significant number of samples, this process may be computationally intractable for expensive models such as turbulent combustion simulations.
Our approach to detection has been theoretically direct: characterize the underlying random process and identify the probabilistic "distance" that naturally arises in sampling this process.
MS measurement is formalized as sampling a random process characterized by an underlying distribution (the reference spectrum), and detection is associated with the probability that a measured spectrum could arise from sampling this process.
At first, the sample in this process evaluation (n = 181) might be too small to draw firm conclusions, since sample size calculations in the PRO-FIT project were based on the power to statistically detect an intervention effect [ 7].
In the case of sample 3, this process takes place in the intensive exothermal decomposition of the product.
For this purpose various moulds with different configurations were developed with a view to producing uniaxial and multi-directional temperature gradients across the sample during this process.
We first removed the graphene on Au plasmon resonator array with RIE, then we used E-beam to evaporate 15 nm SiO2 film on the sample, and this process was repeated twice.
Even with a small sample size, this process demonstrated a range of abilities, lifestyles and awareness.
Similar to FIA's sample design, this process assures a relatively uniform spatial distribution of plots but allows locally random positioning of measurements.
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CEO of Professional Science Editing for Scientists @ prosciediting.com