The Bayesian framework underlying the approach potentially allows application to any amount of data by using informative priors derived from previous translocations or expert opinion.
Using this large amount of data may be highly informative, yet quite challenging for current methods from the point of view of computation efficiency.
Consequently, it is desirable to understand and overcome the above limitations, leading to a more informative data set which can be constructed from the vast amount of data that is commonly obtained from large-scale MS-based proteomic analyses.
Specifying minimally informative Inverse-Wishart prior distribution is, however, problematic, especially when the amount of data is small relative to the dimensions of Σ(M × M ) as is the case for our example data.
This provided a considerable amount of data which did not need to be equally informative for the characterisation of ceramics or the determination of their provenance, and it was therefore necessary to separate those parameters which carry the most information about the characteristics or provenance.
Based on the Eigenvalues, which are a measure for the amount of data variance an Eigenvector describes, the 3 most informative components of the data can be defined.
A major challenge lies in summarizing the large amount of data as well as statistical results and to generate informative, interactive visualizations.
Although highly informative, REDCO had never been used in clinical MRI applications because of the large amount of data it requires, leading to infeasible scan times.
The use of microarray chips in gene expression analysis requires an enormous amount of data to be analysed and often, while at the same time, selecting the most informative genes from different gene sets.
However, the range of sample sizes discussed here reflects the amount of data usually available in whole genome resequencing studies in farm animals providing the most informative marker density (see Figure 1a).
