Sentence examples for by the expression relationship from inspiring English sources

The expression relationship between the sets of coexpressed genes is defined by the expression relationship between the skeletons of these sets, where this skeleton represents the coexpressed genes with a well-defined nonlinear expression relationship with the skeleton of the other sets.

The expression relationship between each interacting partner was further measured by Pearson Correlation Coefficients (PCCs).

The expression relationships have been filtered by the uncorrelation factor provided by the PCOP calculation to be considered correlated enough [ 10].

By selecting genes from the different skeletons, the expression relationships between them can be studied.

In this report, we present an integrative strategy for inferring HCV-associated miRNA-mRNA regulatory modules, by combining the inverse expression relationships between miRNAs and mRNAs and computational target predictions at the sequence level.

Thus, by identifying the likely expression relationships in our experiments of these genes revolving around related themes (B-cell signaling, erythropoiesis, and interferon-mediated response), the network-based analysis has contributed to interpretation of the data and ultimately to directing future efforts in our studies of the host-pathogen interaction in malaria using non-human primate models.

First, expression coherence could be a by-product of inferring the inverse expression relationships.

The correlation degree provided by the PCOP calculus is what guarantees us that the linear expression relationships (coexpressed genes) as well as the nonlinear expression relationships (intergroup expression relationships) are not a product of chance and have a biological meaning.

First, the interdependence between sets of coexpressed genes cannot be described by linear expression relationships.

As it is shown in the mentioned paper [ 10], nonlinear expression relationships allow detecting new hubs in gene networks, because they allow relating genes by complex expression relationships and to discover new relationships that otherwise would not be possible to detect.

Accordingly, 11 genes, controlled by miR-196a, showed by microarray analysis an inverse expression relationship suggesting that they can be likely considered functional targets of miR-196a.