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This method is featured by new higher order mass matrices.
This method is featured with low sample consumption, simple processes of microfluidic platform and straightforward colorimetric detection with aptamer-AgNPs.
The results of comparisons show that the DoE-GRA method is featured by less sensitive to weight changing, simple and fast calculation, robust and practical.
This method is featured as short reaction time, no requirement of high temperature calcination (>500 °C) for TiO2 crystallization, easily tunable TiO2 shell thickness, high yield, and good reproducibility.
The method is featured by ability to visualize dynamic changes in cardiovascular pulse wave during the cardiac (or respiratory) cycle.
Having the advantage of calculating the mean methylation of each CpG during pyrosequencing and expressing it as an absolute value, this method is featured as gold standard technology for quantitative methylation studies.
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Using ASE the method was featured as short extraction times, reduction use of extraction solvent, high extraction yields, with high level of automation.
The strengths of our proposed sparse learning method are feature selection, good prediction performance, and easily interpretable results.
One of the general feature extraction methods is feature dimensionality reduction [5].
These methods are featured by exploiting externally determined gene sets to rank a group of genes.
Another general feature extraction method is feature transformation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com