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Note, though, that the effort required for adapting a method can differ significantly: For example, methods for identifying molecular formulas from isotope patterns (see Section "Molecular formula identification") can be applied to any experimental setup where isotope patterns are recorded.
For example, methods for constructing regulatory networks must make some simplifying assumptions that may not be true.
For example, methods for sample size and power calculations so far have been limited to cross-sectional designs and assumed equal cluster sizes between both clusters and steps.
These models may include, for example, methods for identifying opportunities for role responsibility changes using ICT and provision of tools for testing the impact of changes on service outcomes.
To compare treatment rules constructed from Cox and AFT models, for example, methods for measuring the extent of clinical effectiveness for an ITR will be discussed in Section 6.
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For example, methods suitable for social networking data could not be appropriate for trajectory data.
For example, methods and techniques for acquiring, storing, organizing, archiving, analyzing, and visualizing biological data require increased computational knowledge and skills.
For example, methods have been developed for mechanical modeling of breast deformations [12],[13] and simulation of steerable needle insertion for prostate therapy [14]-[16] [14]-[16]
For example, methods have been developed for segmenting the genomic regions into active intervals of interest (Day et al., 2007; Du et al., 2006).
For example, Methods is like the detective work at the crime scene.
For example, methods based on phone lattices (see [25]) or specific acoustic model topologies (see [26]).
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