Interestingly several of these seem to impact on molecules relevant for chemo response, however, the network of microRNA interactions is extremely complex and thus requires further study to reveal alterations of importance for the clinical management of patients.
Previous studies have shown that transcription factors have a major effect on the network of drought-response genes.
We use this framework to identify the most relevant transcription factors in mediating the observed transcriptional response, and to construct the effective response network of the TOR pathway.
We simulated the response of the network to a series of 500 sawtooths with parameter a taking one of 10 equally spaced values within the [0 1] interval.
Both measures were computed from the response of the network to 100 presentations of the same one-second speech segment.
Using the simulation mode of Snoopy, the response of the network to addition and removal of inorganic phosphate has been analysed in silico to obtain time series data sets.
Finally, we constructed the effective response network of the TOR pathway.
As a key element in a cable network, the properties of cross-link would directly affect the dynamic response of the network and therefore the effectiveness of this field solution in suppressing cable vibrations.
Using our framework, we identify the most relevant transcription factors and construct the effective response network of TOR, which is responsible for the observed transcriptional changes due to TOR inhibition.
The elastic response of the network is attributed to elongation of strands, whereas its viscoplastic behavior is associated with sliding of junctions.
