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All processes of obtaining the interaction parameters were similar to our previous study [26].
After obtaining the interaction matrix, the first step of the analysis was to identify clusters of trans-factors (RBPs and/or miRNAs) that bind the same set of UTRs.
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Analysis of variance (ANOVA) was later used for graphical analyses of the data to obtain the interaction between the process variables and the responses.
The color and COD removal were determined, and ANOVA was applied to obtain the interaction between the process variables and the responses.
Analysis of variance (ANOVA) was used for graphical analyses of the data to obtain the interaction between the process variables and the responses.
A molecular dynamics (MD) simulation was performed to obtain the interaction energy and the geometrical parameters of the interphase.
(1) One obtains the interaction picture dynamical equation ifrac{d}{dt}V ( t ) =Upsilon ( t ) V ( t ), (2) where (Upsilon ( t ) =U_{0} ( t ) ^{dagger}H_{text{int} }U_{0} ( t ) ).
We present a C-code designed to obtain the interaction potential between a spherical projectile nucleus and an axial symmetrical deformed target nucleus and in particular to find the Coulomb barrier, by using the double folding model (DFM).
Then, we obtained the interaction indices using the log odds ratio estimates from the logistic regression model.
In this manner, we obtained the interaction frequency between any two SOCs for 23 SOCs involved in the AA network.
We collected the frequencies of contact between two given chromosomes to obtain the interaction matrix and plotted the data as a heat map.
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