Sentence examples for estimating the activation of from inspiring English sources
While a clear advantage of the regression approach is that it makes use of all the information content of the model signature, it is much less plastic as it implicitly assumes that all of the genes and weights in the model signature are relevant for estimating the activation of the corresponding pathway in the different cellular context.
We estimated the activation of the transcription factors in our network over time using NCA.
Therefore, we estimated the activation of mp53 based on the induction of WAF1 which is one of downstream factors regulated by p53.
The expression of all three growth factors increased significantly at day 12 of the overload period, while IGF-II was also significantly elevated at day 6 (Fig. 2 A ). Next, we sought to estimate the activation of receptor tyrosine kinases by determining the association of PI3K with IRS-1/2, a crucial step in the canonical growth factor signaling cascade.
This paper provides some clarifications regarding the use of model-fitting methods of kinetic analysis for estimating the activation energy of a process, in response to some results recently published in Chemistry Central journal.
LC3B as an autophagosome marker is the most important criterion of estimating the activation and maintenance of autophagy [ 59].
In this paper, we have proposed a novel probabilistic pathway activity inference scheme that estimates the activation level of a pathway based on the log-likelihood ratios (LLRs) of the member genes.
analysis carried out to estimate the activation energy of the cure reaction yields a value of 137 kJ mol−1.
Based on the obtained results, a dissolution kinetics model is proposed to quantify the volume fraction of dissolved γ′ particles and estimate the activation energy of this process for AD730™.
An unreacted core model was applied to estimate the activation energy of Cr2O3 reduction with 128 ± 4 kJ/mol.
Recent advances in genetically engineered calcium and membrane potential indicators provide the potential to estimate the activation dynamics of individual neurons within larger, mesoscale networks (100s 1000 + neurons).
