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In particular, the zone of YFP expression will broaden with an increased sensitivity of the sender/receiver population and amount of interleukin-4 produced by the processing population.
Recent innovations in next-generation sequencing [ 25], coupled with rapidly maturing statistical approaches for processing population data for multigene families such as the MHC [ 26, 27], offer an exciting new avenue for high-throughput systems-based analyses of immunological variation.
Whether large datasets will significantly improve the ability of clustering methods to detect existing structure when genetic differentiation is small remains to be tested with recent programs that have been specifically developed for rapidly processing population genomic data (Popescu et al. 2014; Raj et al. 2014).
The processing population with the 1000 1 plasmid ratio produced this amount of interleukin-4 in response to L-tryptophan concentrations higher than approximately 5 μM (Fig. 3a, dashed line), whereas the processing cell population with the 100 1 plasmid ratio reached this level already at minute L-tryptophan concentrations (Fig. 3a, solid line).
Since the choice of the processing population with the 1000 1 plasmid ratio could thus no longer suffice for the full activation of the sender/receiver cells at the population border (as later confirmed in the supplementary Additional file 1: Figure S1), we decided to proceed with the processing cell population with a 100 1 plasmid ratio.
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In New Zealand, meat processing populations face many health problems as a result of the nature of work in meat processing industries.
The EAs and MAEAs are accelerated by implementing the kernel principal component analysis (KPCA) during: (a) the application of the evolution operators, by processing the population members in a new/feature, rather than the standard design, space and/or (b) the metamodel training, to reduce the number of input units and, thus, get more accurate predictions.
Intermodal selective attention enhances processing in neuronal populations that are partially distinct from those activated by unattended stimuli.
Computational neuroscience aims to elucidate the mechanisms of neural information processing and population dynamics, through a methodology of incorporating biological data into complex mathematical models.
First, the sender/receiver and the processing cell population were seeded in separate compartments of a cell culture dish.
Here, we present the first mammalian synthetic network for reciprocal cell-cell communication to compute the border between a sender/receiver and a processing cell population.
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