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The dominance of QX217's insensitivity over N2's sensitivity distinguishes it from the two alleles of ppw-1 we have examined (CB4856 and pk1425), which are both recessive to N2.
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Using RT-PCR, KS1/4 was previously reported to be the most sensitive marker among CEA, CK19, KS1/4, LunX, muc1 and PDEF for the detection of metastatic NSCLC in mediastinal lymph nodes, and LunX was with the second highest sensitivity distinguishing lung cancer from lung benign disease [ 6].
"Multiple chemical sensitivities: distinguishing between psychogenic and toxicodynamic".
To this end, we used a method that allows the detection of endocytosis with a high sensitivity and distinguishes between endocytosed or conjugated cells [29].
A recent study that evaluated the Actical in dogs found that there was 100%% specificity and 100%% sensitivity in distinguishing sedentary activity from walking activity and a 92 % specificity and 92 % sensitivity in distinguishing trotting activity from walking activity [ 4].
CA72-4 has a higher sensitivity to distinguish gastric cancer patients and disease-free healthy population than other markers, such as CEA [9].
Our transgene-free Nestin:mCherry reporter hESC line provides the unique ability to monitor the differentiation status of our cultures with the sensitivity to distinguish high and low sub-populations of Nestin expression and without requiring Nestin immunostaining.
Multivariate pattern analysis (MVPA) approach applied to neuroimaging data, such as functional magnetic resonance imaging (fMRI) data, has received a great deal of attention because of its sensitivity to distinguishing patterns of neural activities associated with different stimuli or cognitive states.
As CT densitometry depends on a wide range of variables, settings were optimized for the highest sensitivity in distinguishing different wood densities.
This provides increased sensitivity to distinguish highly homologous sequences, by designing the half-probes such that a difference in sequence is located under or near the ligation site [51].
The accuracies on Datasets 4 and 5 are 82.75% and 80.42%, respectively, which shows DCN-based method has a decent sensitivity to distinguish and classify closely-related species, i.e. in the deeper level of the phylogenetic tree, as dataset 4 contains only genomes from Bacterial Division 12, and dataset 5 contains both Division 12 and 13.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com