In addition to tumor volume calculation, accurate automatic segmentation methods additionally have the potential to reduce the variability and increase the standardization of other measurements and protocols, including the quantification of edema or necrosis.
Additionally, the method has excellent specificity, satisfactory reproducibility and stability as well as acceptable reliability.
Additionally, the method has high sensitivity with detection limit as low as 0.096 μg/ml.
Additionally, the method has been successfully applied to recognize the sequence which contains a single-base mismatch in the short human p53 gene fragment.
Additionally, the method has lower chances of not finding outliers in the LogNormal distribution than in the Ex-Gaussian distribution (for instance when n=10, the method is ∼2 times more likely to find outliers in the LogNormal distribution than in the Ex-Gaussian distribution).
Additionally, this method has previously been used for Drosophila [29] demonstrating its biological relevance.
Among these genes, our method has additionally detected 42 genes (63 Mutation Id) in Dataset1, 312 genes (362 probes) in Dataset2 as differentially expressed.
Additionally, the method has been shown to be reliable in eliciting WTP [ 20].
Additionally, this method has the potential for addressing other novel biological questions.
Additionally, this method has been shown to increase bacterial translocation across the intestinal wall, which is a hallmark of NEC (Edde et al., 2001; Sherman et al., 2005; Grootjans et al., 2011).
