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The BDNG is the core of the Geothopica web site, whose webGIS tool allows different types of user to access geothermal data, to visualize multiple types of datasets, and to perform integrated analyses.
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In this study we have developed an application for the visualization and analysis of data from high resolution array CGH platforms that can be adapted for analysis of multiple types of high throughput genomic datasets.
We report results for two types of datasets: (a) 15 datasets (variations of each other) that use multiple types of predictor attributes but not gene expression attributes; (b) a dataset including only gene expression attributes (extracted from Genevestigator).
Thus, it allows concurrent detection of multiple kinds of data alignments, in datasets containing multiple types of data.
These values are much lower than the AUC values for the datasets with multiple types of attributes but not gene expression attributes, and they are just slightly higher than the AUC value expected from random predictions, which is 50%.
Since we focused on the behavior of individual genes across multiple types of cancer rather than groups of genes in individual datasets we only compensated for the multiple t-tests over the composite number of datasets.
This research accentuates the anticipated messiness of the collected datasets and the complexity in handling the multiple types of blended information.
There are multiple types of Italian pasta.
Multiple types of data, often combined.
And most require multiple types of users.
Must include multiple types of botnets.
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