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Conventionally, workflows examining transcription regulation networks from gene expression data involve distinct analytical steps.
Spatio-temporal data involve three major components: space (where), time (when), and objects (what).
This is particularly challenging because most of the techniques currently used to obtain meaningful data involve low efficiency animal studies.
The data involve citation exchanges in Internet research among 680 journals in 12 subject areas from 2000 to 2013.
Importantly, these data involve a set of tasks with consistent stimulus and response formats, but varying levels of complexity and difficulty.
The two other sets of data involve the thyroid gland and were acquired using freehand tissue compression by ultrasound probe of a clinical ultrasound scanner modified for research.
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Data involves rounding, broad estimation and ball-park estimates.
Therefore, data involving Test 3 were not further analyzed.
Research data involving human subjects presents special requirements.
"We are therefore exploring whether we need to start looking at mergers with valuable data involved".
The European data involved a consortium of studies with different designs.
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