Sentence examples for tissue population from inspiring English sources

Fig. 7 Correlation between influx parameter K i and SUV (row A) was relatively poor within individual tissue groups compared to that in the total sampled tissue population, shown in Fig. 6.

Association between nuclear KLF6 localization and HER-2/ERBB2 as one of the most effective breast tumor aggressiveness marker as well as patients' characteristics and histological parameters within the tissue population was assessed using contingency tables analysis (Chi-square X2 test) including Yate's continuous correction, and validated with Fisher's exact test.

A marked expansion of the connective tissue population and an abnormal deposition of extracellular matrix proteins are hallmarks of chronic and acute injuries to liver tissue.

The same methods were used for grouping by KRAS and BRAF, based on the tissue population status as previously published [ 20].

The entropy was normalized to range from 0 to 1, where 0 indicates a single tissue population and 1 a population of all tissues.

Although previous studies using such a vector-based siRNA approach have demonstrated constant gene silencing effects (Lee et al 2002; Miyagishi and Tira 2002; Paul et al 2002), their strategies failed to focus the RNAi effects on a targeted cell or tissue population because of the ubiquitous existence of type III RNA polymerase (Pol-III) activity.

Therefore, when investigating the performance of Logan plot based on reference tissue, population-based estimates of these parameters were used, which is indicated by the subscripts p in Eq. (11).

Following analyses of metabolic homeostasis, toxicity and cell death induction, overall Zn II Pz-PDT proved comparably efficient between all cancer tissue populations.

The recent years has seen considerable progress in deciphering the genomic landscape of GC, identifying new molecular components such as ARID1A and RHOA, cellular pathways, and tissue populations associated with gastric malignancy and progression.

When sequence tissue populations were non-compartmentalized, 15 additional HIV DNA clones were generated for each non-compartmentalized tissue from the original DNA sample.

For example, advanced diffusion-weighted imaging can differentiate soft tissue populations based on cellular density, thus discriminating GBM from malignant lymphoma (Yamasaki et al, 2005).