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Moreover, unlike approaches that rely on markers in linkage disequilibrium (LD) with the causal mutations for genomic selection, the accuracy of utilizing causal mutations to predict susceptibility will not decay over time, and likely will have utility across breeds, which enhances the value and longevity of the final marker panel to the industry.
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First, there was 2-DE and then its 2D-DIGE that enhances the accuracy of quantitation utilizing very littel amount of sample.
The accuracy of the committees utilizing the reduced feature sets was higher than those exploiting all the original features.
The main idea is to take advantage of the speed of black-oil model employing the pseudo-components scheme while keeping the accuracy of compositional model utilizing the flash calculations based on an equation of state.
To determine a suitable cut-off score and test the accuracy of SRST, we utilized three publicly available datasets each representing a different group of bacteria – Streptococcus pneumoniae[ 6, 15], Staphylococcus aureus[ 4, 16] and Salmonella bongori[ 17, 18].
In this research, neuro-fuzzy system will be considered to improve the accuracy of GPS receiver by utilizing various GPS parameters such as position dilution of precision (PDOP) and signal to noise ratio (SNR).
Finally, we selected 12 miRNA targets to further assess the accuracy of the Illumina array utilizing a second method to quantitate miRNA levels (qPCR).
Two different MS/MS approaches, namely CID-IT and HCD in an Orbitrap mass analyser, were used, as the acquisition of a dual fragmentation method can increase the accuracy of phosphorylation site mapping utilizing computational proteomics tools [ 33].
While several of these flows are accurately measured or estimated, significant errors in the turbine and EGR flows are commonly observed and can highly degrade the accuracy of any calculations which utilize these flows.
In our coding scheme, the multilayer perceptron network is used to improve the accuracy of side-match prediction by utilizing the property of the neural network nonlinear prediction.
The error associated with the selected correlation is also quantified for every correlation in each data sub-cluster so the engineer would expect the accuracy of pressure drop prediction when utilizing this approach.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com