Our data reveal that gene regulatory networks modulated by single modulator or co-modulated by multiple modulators play important roles in breast cancer.
Through functional annotation analysis, we showed that genes modulated by merely single modulator or co-modulated by multiple modulators play important roles in breast cancer.
Interestingly, groups of gene pairs that were modulated by single modulators (ranked from 2nd to 11th) were found with higher frequencies than those modulated by multiple modulators.
However, since gene regulation involves complex mechanism, especially in cancer, analysis based on individual modulator genes may be limited in understanding joint effects among multiple modulators and unveiling the landscape of modulation.
Mock E P, Göpelt K, Büsselberg D. Calcium channel modulators influence breathing.
Since the amount of sample was limiting the decision was taken to measure signaling in response to multiple modulators, rather than multiple time points with fewer modulators.
Understanding how allosteric modulators influence the equilibrium constants associated with dimerization is therefore important.
Local and systemic immune modulators influence the tumor phenotype [ 42, 43].
The method is mainly built on a multiple regression model that takes expression levels of multiple modulators as inputs and regulation strength between genes as output.
Here we propose the Covariability-based Multiple Regression (CoMRe) method to model the relationships between multiple modulator genes and modulated gene-gene regulation in breast cancer.
