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The training dataset in a form of time-series get converted to multidimensional vectors via the preprocessing process, ready to be used for training a classification model.
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The dataset, organized in a form of a flat-file database by LipidX software, comprised 151 survey mass spectra acquired from 70 individual plasma samples.
Using the website, researchers can query gene expression profiles of their gene of interest, search for genes expressed in different tissues, or download the dataset in a tabular form.
When an NMR dataset in the form of a compressed zip archive or a MestreNova wrapping of such data is deposited into the repository, it is automatically signed, producing a MestreNova-specific "mnpub -format file which is added to the deposition fileset.
Dissemination and visualization of these datasets in an explorable form is an important challenge.
We plot these P -values for each pathway, and for each dataset in the form of a heatmap shown in Figure 4.
We organize the dataset in the form of a gene expression matrix GEM : N × M → e i, j ∈ ℜ with rows representing samples and columns representing genes.
This dataset, in the form of a comma separated values file (Additional file 3), was imported into the statistical software Stata [ 39] for analysis.
The value of these things is the result of the ingenuity, competence and (perhaps above all) hard work of human beings, not something that follows automatically from the mere presence and availability of datasets over the web in a form which permits their reuse.
First, the datasets involved are not in a form accessible to researchers or the statistical programs with which they are most familiar and a high level of technical expertise would be required for even the simplest analysis.
In either case, one dataset is kept in memory in a form allowing for fast random access, whereas the other is iterated through with only summary information being kept.
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