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Additional evaluation is required, optimally with breast cancer cases that received Herceptin, to determine if this approach can outperform the current IHC based method, which has a weak positive predictive value in identification of patients who will respond to Herceptin treatment.
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Classification and similarity based methods, which have recently received major attention in the field of surface water hydrology, namely through the PUB (prediction in ungauged basins) initiative, have not yet been applied to groundwater systems.
With the availability of a large number of completely sequenced genomes whole-genome based methods were proposed to alleviate the shortcomings of gene based methods which have attracted much attention in recent years.
The steps involved are very similar to those of the acetone-based method, which has been successfully incorporated into EZAG® modules.
Correction for residual motion artefacts was performed with an ICA-based method, which has been shown to outperform motion scrubbing and spike-regression methods both in terms of reproducibility of resting-state networks and conservation of temporal degrees of freedom (Pruim et al., 2015a; Pruim et al., 2015b).
To reduce the effect of image noise and artifacts, an initial single particle reconstruction was made on images denoised with an information theory [Minimum Description Length (MDL)] based method which we have introduced earlier [25].
Overall, the estimates were much closer to the low rates considered in the simulation experiments (0.002) and, therefore, we based our conclusions on the OG-based methods, which have shown the best performance at this rate magnitude (fig. 5).
Vaterite microviscometry is a laser tweezers based microrheological method, which has been previously utilized to measure the viscosity of linear and complex fluids under flow.
The new method for LV delineation, cREPO, was based on a method which has been previously described in detail [12], in which a heart-shaped LV model and an active shape algorithm are employed.
BioHEL is a rule based machine learning method which has been used for sample classification in highly dimensional datasets because of its fine-grained embedded feature selection [ 14].
The novel approach based on the agent-based simulation method, which has customer, service provider, and competitor agents, is expected to be useful for service providers in a competitive market.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com