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Such content-based retrieval is an extremely powerful tool for exploration of the data and generating hypotheses of disease associations, as previously demonstrated with gene expression data (Caldas et al., 2009, 2012).
This sample size of 30 was considered sufficient for exploration of the data, and quotas were applied to each specialty (tissue viability nurses ~30%, clinical nurse specialists ~30%, podiatrists ~20%, and dermatologists ~20%) to ensure a representative sample of each specialist group.
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Descriptive statistics will be used for exploration of the data.
The directed content analysis [ 20] was used as the methodological framework for exploration of the data.
A number of visualization techniques have been developed for exploration of high-dimensional data and clusterings.
Descriptive statistics were used for preliminary exploration of the data.
Firstly, PCA was used for an overall exploration of the data structure.
Third, a visual user interface for exploration of personal data are proposed.
This first step may be described as a systematic exploration of the data on the lookout for "chance" discoveries.
As is usual for qualitative methodology, the sample size was small to allow in-depth exploration of the data.
The exploration of microarray data and data from other high-throughput projects for hypothesis generation has become a vital aspect of post-genomic research.
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