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Finally, to improve the performance of this method, we suggest an iterative decoding method.
Unlike the traditional way to approximate solutions in an explicit single step method, we suggest a methodology that contains the estimated error at each integration step and enables us to control the bound of the local truncation error for a long time simulation.
The method we suggest is intrinsically less sensitive to the platform effect, since it measures an average involvement of TFs.
Using such method, we suggest attributing to each circuit a sensitivity value that determines the overall sensitivity of its parameter.
To summarize, the method we suggest serves as a linkage between two types of array profiles of the same disease model and identifies regulatory motifs introduced by genetic variations.
Currently the only method we suggest to account for length bias between genes would be to use a fixed length window approach, with a window size smaller than the smallest gene.
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The method we suggested is time consuming when it is naively implemented on an embedded single core, since P m must be computed for every single particle and at every odometry data acquisition.
Because the accurate estimation of the covariance matrix of each gene set is critical in this method, we suggested using the shrinkage covariance estimator (Schafer and Strimmer, 2005) instead of the unstable sample covariance.
By using the projection methods, we suggest and analyze the iterative schemes for finding the approximation solvability of a system of general variational inequalities involving different nonlinear operators in the framework of Hilbert spaces.
In order to overcome these general drawbacks of the expansion methods, we suggest a higher-order stochastic field function that can be employed in the expansion-based stochastic analysis scheme of the weighted integral method.
In contrast to traditional single target methods, we suggest using a combination of the top compounds to perform cell proliferation experiments.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com