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Our methods are next applied to the more complex phenomenon of cortical oscillations observed in spreading cells.
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The methods were next applied to two examples: the diagnosis of prostate-cancer recurrence and the diagnosis of the cancers of the upper aerodigestive tract.
The method was next applied to analyze the trajectories of quantum-dot-labeled GABAA receptors in nerve growth cones.
These two methods are discussed next.
These three methods are described next.
Three knowledge discovery methods are discussed next for extracting knowledge from data sources.
Nonregression-based methods are presented next, including hierarchical models, Bayesian models, and belief networks.
The Chattopadhyay [14] and Gao [37] methods are the next best performing, which have means in place to reduce the effects of negative transfer from the source domains.
Some representative coordination-based methods are discussed in next paragraph.
An analysis of all feasible transform decomposition methods is presented next in Section 3 followed by the combinational hypotheses testing optimization-based selection of the best decomposition transform permutation modality that yields the unified commutation-pruning DFTCOMM technique.
Since empirical studies suggested that GPNN has excellent power for identifying gene-gene interactions, a comparison of GPNN with traditional statistical methods was our next step.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com