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The stringent features of this protocol minimize the isolation of non-telomeric chromatin, and a biotin-labeled, scrambled DNA sequence not found in the genome is used as a negative control in this approach [ 64].
Inspired by the interesting chemical and analytical properties of 4-APC, we decided to use it as a design template to address some additional stringent features of (oxidative) biomarker analysis.
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We identified a set of 21 novel smRNAs that share stringent key features with functional microRNAs from other model organisms.
You heard suspense-movie stabs, a high and stringent violin feature (played by Debbie Buck), sets of great pastoral chords with strings advancing to the front of the sound-mass and bending them toward slight dissonance.
Stringent statistical feature selection detected a set of differentially expressed genes that have been further evaluated to identify potential biomarkers to be used in early diagnostics.
Following removal of Agilent control features, stringent quality filtering involved removal of saturated and non-uniform features, population outliers and features that were not significantly positive with respect to the local background.
The stringent high-mobility feature is balanced with three other common features in a high-speed context: mobility pattern awareness, different sources for location discovery techniques, and a previously known traffic data profile.
The stringent high mobility feature is balanced with three other positive features in a high-speed context: mobility pattern awareness, different sources for location discovery techniques, and a previously known traffic data profile.
While yes it would be an amazing feat of hypocrisy if Apple actually advertised against the search term "Sex Game Apps" that is not what is happening here, even though this specific Google Ads juxtaposition is worth noting due to Apple's stringent attitude towards featuring sexually explicit materials in the App Store.
The 5 feature mapping methods PSBC, THER, NG25, GSSF and GSSS were evaluated in all 31 combinations then filtered across 9 increasingly stringent levels of feature inclusion and finally measured for R and MSE across the 3 learning techniques by 10-fold cross validation.
In the present study we have applied markedly stringent criteria for feature extraction and data normalization, which could blunt the identification of differentially expressed genes.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com