Exact(1)
The introduction of EPSR2 did not seem to affect content errors nor, contrary to expectations, did it seem to reduce labelling errors.
Similar(59)
Globin transcripts, which reduce labeling efficiency of whole blood cell RNA and decrease signal-to-noise ratios on microarrays (14), were reduced using GlobinClear (human; Ambion).
Globin transcripts, which reduce labeling efficiency of whole blood cell RNA and decrease signal-to-noise ratios on microarrays [ 25] were reduced using GLOBINclear-Human (Ambion, Austin, TX, USA).
Controls for specificity of in situ hybridization (Fig. 1G) and immunohistochemistry (Fig. 1K and Q), using excess oligonucleotide or immunizing peptides respectively, eliminated or dramatically reduced labelling.
In special cases, reduced labeling degree of the tracer substrate can increase the precision of flux analysis.
The most essential factors for attaining high efficacy of targeted immunotherapy of cancers is its specificity and sensitivity in targeting the receptors on cancer cells, while eliminating, or at least reducing, labeling of healthy cells (Fig. 2).
The follow-up steps including blocking, reducing, labeling and LC-MS analysis are all performed on the same sample.
The lacunae structure was still evident, especially in the pattern of labeled somata (Fig. 7 a ), and highlighted by the low P values (green areas in Fig. 7 b ) indicating significantly reduced labeling.
These results indicate that a low density of haptens reduces labeling of targets, while a high density of haptens can alter diffusion, potentially due to cross-linking or clustering receptors.
We suggest that research on nutrition labeling should focus on ways to improve food labels' ability to capture consumer attention, reduce label complexity and convey numeric nutrition information in simpler and more meaningful ways, such as through interpretive food labels, the addition of simple text, reduced use of percentages and easy-to-understand presentation of serving size information.
In our case, due to the significant biological variations existing among blueberry samples, the classifier required frequent updates in practical applications, and the active learning algorithms could remarkably reduce label effort during the model updating processes.
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