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Several directions for future research stem from the results obtained in this paper: further reducing the size of the classification models, analyzing more deeply the k-mers selected by our models; and measuring how classification performance degenerates when moving from whole genomes to short fragments.
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Comparisons are made among computed data using the present model, previously published models, and measured results, and generally favorable agreement between prediction and measurement is observed.
models and measured data.
They use both traditional channel models and measured channel realizations for analysis.
The root mean square (RMS) error difference between the two models and measured station data were calculated.
Figure 4 Comparison between fitted circuit models and measured Nyquist data obtained during doping at low (a) and high (b) current intensities.
The comparison between the two models and between models and measured data is thus not restricted to the flow acoustic induced resonance.
We model uncertainty with non-probabilistic convex models, and measure the amount of uncertainty with the expansion parameters of the convex models.
We constructed a set of aircraft images from three-dimensional computer graphic models, and measured the luminance contrast threshold for each image from three human observers.
JTH created the 3D computer models and measured the specimens.
Correlation plot of predicted lactate secretion rates by context-specific cancer cell models and measured lactate secretion rates, Figure S3.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com