Nevertheless, by focusing on comparing the distribution of epigenetic features in between a specific type of AS exons and the CNEs that are determined by comparing all Ensemble transcripts between each other, we are able to identify the statistically significant differences for some epigenetic features that are consistent across different cell lines.
The importance of sampling all sources of error is illustrated by comparing this ensemble with an ensemble comprised of single 'best' parameterization for each hydrological model.
A Z-score for the secondary structure strength of each window was calculated by comparing the ensemble free energy mean ensemble free energy for 100 random shuffles of the 50 bp window.
The known sensitivity of DDT characteristics to details of individual flow realizations, seen also in ODT, implies that model agreement can be quantified only by comparing flow ensembles, which are presently unavailable other than in an ODT run-to-run sensitivity study that is reported herein.
We demonstrate the accuracy of our algorithm by comparing ensemble statistics of Y and ΔY (such as, mean, variance, variogram and probability density function) with those of Monte Carlo generated realizations.
The simulation period was 14 24 March, and the analysis was performed by comparing the model ensemble results with the observed atmospheric 137Cs concentration at surface level.
By comparing these estimates ensemble we rejected the assumption of homogeneity (Wald X2 = 4.6; degrees of freedom = 2; P < 0.2).
The KMC-ARS model is validated by comparing experimentally observed ensembles on PAHs with the computed ensembles for a C2H2 and a C6H6 flame at different heights above the burner.
By comparing ensembles with the local models, it is evident that in the case of LR-based models, the local ensemble provides with a better performance in comparison to the local models for all GMA stations with the exception of AM4, while in the case of the TMA local ensembles outperform local models for three out of five stations (Lagkada, Eptapyrgiou and Malakopi).
Our method detects this phenomenon by comparing ensembles of ego-networks derived from the PPI networks.
