This approach also focuses on multilevel or integrative analyses introducing novel statistical methods in epidemiology.
Multiple methods for the integration of omics data into metabolic networks have been developed, but the dynamic and integrative analyses of cellular processes remain a challenge.
Such requirements of pragmatic contextualization tend to result in integrative analyses that consider the intersection of traditional epistemic goals with other social values and goals, including those with an ethical dimension.
The dataset thus provides a depth of neurocognitive phenotyping that is currently unparalleled, enabling integrative analyses of age-related changes in brain structure, brain function, and cognition, and providing a testbed for novel analyses of multi-modal neuroimaging data.
Because of the wealth of data accumulated, we applied integrative analyses such as comprehensive bi-clustering to investigate the structure of the response across the different phenotypes, strains and experimental conditions.
Our method can also be applied in such integrative analyses.
Furthermore, IDA provides a battery of analytical tools for the integrative analyses and also the outputs from the integrative analyses.
To evaluate their roles during integrative analyses, we constructed five simulated datasets (Fig. 1).
This group comprises a set that we believe can be used with confidence for integrative analyses.
In general, the integrative analyses were less significant than the individual clustering analyses.
The smart searches are not only used for customized search interfaces but also for integrative analyses.
