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Despite a massive amount of primary data, the conclusions of genetic association studies are not always clear, requiring an evidence-based synthesis that takes into account the amount of evidence, the extent of replication, and protection from bias.
Since it does not require a large amount of primary data, it can facilitate more rapid exploration of signaling dynamics that could indicate the likelihood of target inhibition and assist in the design of laboratory studies for detailed parameter estimation and identifiability analyses (e.g., what proteins to measure and how often).
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This informed the kinds and amounts of primary data gathered.
Vast amounts of primary data were collected by interviewing participants either in Focus Group Discussions (FGDs) or individually.
This also means that Bayesian learning performs well with noisy data, as is the case in this study which has a large amount of primary assay data and an expected high number of false positives and negatives.
Still, there is less work and lower cost compared to assembling a similar amount of information through primary data collection.
Data were retrieved for the total amount of primary and revision ACL operations.
There exist many good techniques but the overall quality of the results of such analysis is critically dependent on the amount and quality of the primary data.
It means a large amount of primary traffic.
Using the small amount of harvested energy, the primary data transmission is more likely to fail and the spectrum is wasted for the data retransmission.
A partial explanation of this emphasis is undoubtedly the fact that a vast amount of data, both primary and secondary, is literary in form.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com