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Model-driven analyses on gene annotation refinement and identification of gene and enzyme essentiality analyses are helpful to understand the genome and discover promising novel drug targets.
If appropriate, multivariable regression modeling will be undertaken as exploratory analyses to assess treatment by covariate interactions.
Systems biology has contributed workflows for data-driven modeling and model-driven experimentation to the life sciences.
Hypotheses are needed before data collection because model-driven quantitative analyses require rich dynamic data collected under defined conditions and stimuli.
"A Model-Driven Approach to Embedded Control System Implementation".
We undertake further analyses to assess the robustness of our estimates.
Researchers will utilize meta-analytic models and conduct theory-driven moderator analyses to identify characteristics that are associated with interventions effectiveness.
A methodology, named MetaMORP(h OSY, that uses model-driven engineering and model transformation techniques to analyse Cloud services was introduced in [121].
Many companies are undertaking various data-driven initiatives to improve the accountability and security of their supply chains.
The approach is based on model-driven principles and uses both UML and Bayesian Networks to capture, analyse and optimise cloud deployment configurations.
However, VBM mainly applies data-driven concepts to support decision-making, disregarding model-driven approaches.
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