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Not only does this approach allow one to build mathematical models that would be impossible to build manually, but also it frees creative energy that can be invested in the definition of the structure of the model and in the interpretation of the resulting mathematical formulas.
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This proteomic approach allows one to demonstrate, on the one hand, that the autoAb response in early untreated RA is also directed against two categories of antigens, some enzymes of the glycolytic family and chaperones; and, on the other hand, that citrullination is involved in the antigenic properties of some of these antigens.
Finally, our approach allows one to condition on other causal SNPs, by way of the similarity matrix, for increased power, again, as has been done in single-SNP test setting (Atwell et al., 2010; Listgarten et al., 2012; Segura et al., 2012).
The first approach allows one to execute a poretools command on an entire directory of FAST5 files.
This approach allows one to model more concretely what goes on in the biological process of recombination.
It is worth noting that a wide field illumination technique, such as structured light approach, allows one to increase the light power impinging on the phantom while preserving a low power density; e.g. by assuming a light source of 100 mW the power density over 64×64 mm is about 2 mW cm-2.
The simulation-based approach allows one to express the functional dependence of erosion on the coating properties, and to quantitatively predict the erosion rate.
Our approach allows one to compare gross anatomical volumes of a heart (based on MRI and histology datasets; Appendix Figure 1), to morphologically characterize the organ fraction occupied by tissue, and to discriminate between cell types within the tissue.
This approach allows one to adapt pre-computed histograms and ensemble fusion functions based on the imbalance and complexity of operational data.
Reported results on the classification of multisensor remote-sensing images show that this approach allows one to design effective neural network ensembles.
This approach allows one to inform the formulation of graphical neurophysiological and neuropsychological TBI profiles based on the particular structural deficits of the affected patient.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com