To overcome some of these limitations, we generated an optimized method based on the implementation of a Maximum Entropy Formalism (MaxEnt) to deconvolute a genetic regulatory network based on the most probable meta-distribution of gene gene interactions.
In these cases, intervals at most probable meta-QTL positions were chosen.
It is probable that some of these HRA meta-bearing complications are coded in the Finnish register as revisions performed for "other reason".
Ultimately, as a recent meta-analysis concludes, it is probable that AMH has an association with oocyte quality, but this association is likely weak to moderate at best independent of a woman's age [30 ▪▪].
In this analysis we provide results for both criteria for selecting the most probable regulator, the lowest adjusted p-value from the meta-analysis and the greatest number of data sets with significant correlations.
Another 56 minutes were needed by the meta-rna algorithm for analyzing this subset of probable candidates identified by i-rDNA.
If potential publication bias was found in the meta-analyses, contour-enhanced funnel plot was performed to explore the probable source of publication bias [ 30].
A network meta-analysis demonstrated that BP-BES was associated with a higher risk of definite or probable stent thrombosis than PP-EES.
This, combined with probable decreases in sizes of populations, has the potential to alter the overall genetic diversity in the meta-population over time, perhaps reducing the ability of the species to respond to further perturbation of the system.
In the meta-analysis of Stuart-Harris et al. in 2008 [ 100], after adjustment for probable publication bias, a high level of Ki-67 was associated with poor DFS and OS and this remained statistically significant in multivariate analyses.
To discern probable biological targets of the affected miRNAs, we combined evidence from 11 miRNA target prediction servers using the miRecords meta-server (Xiao et al., 2009; http://mirecords.umn.edu/miRecords/).edu/miRecords/
