The method demonstrated significantly higher numbers of captured EpCAM-positive cancer cells within anti-EpCAM stamped areas.
In off-line comparisons, our method demonstrated significantly better accuracy compared to the Kalman filter, the Wiener filter, and the population vector method [10], [13].
FT method demonstrated significantly better, and almost perfect, inter-rater reproducibility (FA: 100%, ADC: 97.2%) compared with ROI method (FA: 63.9%, ADC: 75.0%) [Table 2].
Notably, RT-PCR-based protocols yielded significantly lower sensitivity compared with other molecular detection approaches and nested RT-PCR methods in particular demonstrated significantly lower specificity.
While more sophisticated models of tuning, such as higher-order or non-parametric models, may model neural activity more accurately, our model is relatively simple, fast to fit and evaluate, and grounded in previous work (see Materials and Methods), while demonstrating significantly better predictive accuracy than the commonly-used linear model.
The gutta-percha, lateral condensation method was the only group that demonstrated significantly more voids.
Although PICKY demonstrated significantly better performance than previous peak picking methods, it has two bottlenecks.
RT-PCR-based techniques demonstrated significantly lower sensitivity (adjusted P = 0.03) and no significant difference of specificity (adjusted P > 0.2) compared with other molecular detection methods.
Both sampling methods demonstrated a gradation of cytokine level, with burns and ALI/ARDS having significantly higher levels than patients with stable chronic lung disease or healthy controls.
We call cytosines demonstrating significantly negative SCC M/E CpG "traffic lights" (see Methods).
