Sentence examples for regulatory correlation from inspiring English sources

We identified the local regulatory correlation (LRC) regions for two distinct types of nucleosomes and we assessed their regulatory properties.

The resulted network consisted of 36618 regulations between 401 miRNAs and 7175 mRNAs which represented potential regulatory correlation between miRNAs and mRNAs at the whole genome-scale.

Instead of the correlation between averaged nucleosome occupancy and transcriptional activity used in the previous studies [ 1, 3, 28], we employed a local regulatory correlation (LRC) method, which was defined as the correlation coefficients between the two classes of nucleosome densities in each window and the regulatory properties of high-confidence transcripts.

Root development is a complex process that involves constitutive and adaptive mechanisms and regulatory correlations with the shoot part of the plant (Puig et al., [2012]).

Although we examined the miRNA-mRNA correlations at the whole genome-scale, the identified regulatory correlations might contain false positives.

The miRNA-mRNA regulatory network was constructed by assembling all the significant miRNA-mRNA pairs (qFDR < 0.05), in which nodes represented miRNAs and mRNAs, and edges represented their potential regulatory correlations.

Since the denominator of the SOS computes the number of organisms for which a site orthologous to the E. coli original site appears (i.e., organisms with orthologous TFs and structural genes to those involving the E. coli regulatory interaction) this correlation does not assess whether a trio of E. coli genes involved in a FF motif co-occur in other organisms.

In summary, the above suggests that complex correlations between regulatory weights as well as correlations between those weights and promoter strength or protein decay rates are an unavoidable property of complex biological networks, as some interactions or changes in expression rate can always compensate for changes in others.

Although multiple pathways have been implicated in epithelial renewal, the underlying regulatory mechanisms and correlations between relevant genes and pathways remain elusive.

These observations suggest a functional role for RNA structure as a regulatory factor; however, correlations between RNA structure and HIV-1 splicing have yet to be demonstrated.

We chose to focus on Bayesian network structures because they typically provide a more succinct representation of regulatory interactions than correlation-based networks, and because the relationships between features are highly suggestive of direct interaction or regulation, each of which are valuable properties for driving validation experiments or mathematical modeling efforts.