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In the first instance, this would involve studying large cohorts to establish quantitative normative data of task-related activation.
These problems were related to the open data barriers of task complexity and information quality.
We obtained a total of 13 data sets of task sequence 3 in 10 days from five rats (two from four rats and five from one rat).
Because many investigators have already obtained large data sets of task-related fMRI, the ability to use this existing task data for resting state fcMRI is of considerable interest.
On the other hand, run data of computation tasks, network connections and processing power of cloud resources, is continually collected and stored.
While the development of high-throughput or global approaches can provide large amounts of data, the task of extracting meaningful biological insight from this information is still challenging [ 4].
A token carries certain amount of data from task to another.
In the second model, data of the standard task were left out in order to directly compare the grey dots task versus the red dot task.
In this kind of a data mining task of bioprocess data, both methods outperform multiple linear regression.
If one has a large amount of genomic data, the task of identifying first degree relationships, i.e. parent offspring and full-sibs relations, is trivial.
We discuss two fault scenarios: one based on the corruption of all data of a target task, and the other involving the corruption of a single data point.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com