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The modeling approach used here may therefore prove useful for analysis of the molecular biophysical basis of cellular mechanotransduction as well as ECM remodeling.
Constrained Bayesian networks are suggested as especially useful for analysis of pathway‐based SNPs.
This technique is useful for analysis of clonal compositions in T cell populations, which changes during an immune reaction and can be dramatically altered in some disease states.
Techniques useful for analysis of neural data including linear algebra, Fourier transforms, probability and statistics, signal detection, Bayesian inference, and information theory.
The Data Core is useful for analysis of both secure and non-secure data by research teams, including non-Weill Cornell collaborators.
Genetically engineered HCV infection system should be useful for analysis of the mechanisms of resistance of HCV to IFN and other drugs.
Reaction engineering is useful for analysis of reactions, identifying rate-limiting steps, determining overall rates, selection of reactor configuration and design and scale-up of reactors.
Industrial case studies on large rotating machinery show that IMF derived from improved EMD is relatively easy to understand and especially useful for analysis of non-stationary, nonlinear time series.
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A nested case-control approach is a useful alternative for analysis of a cohort when time-dependent covariates are used.
We hope that this generalized multifractal model will be a useful tool for analysis of intermittent turbulence in space plasmas.
Thus, changes in the concentrations of these metabolites can be useful indicators for analysis of cold-stress responses in rice.
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