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The BODR focuses on data that is commonly required for chemistry software, and where there is a need to ensure that values are standard between codes.
Here, we focus in particular on the type of RNA sequencing data that is commonly produced in studies focusing on microRNAs.
Consequently, it is desirable to understand and overcome the above limitations, leading to a more informative data set which can be constructed from the vast amount of data that is commonly obtained from large-scale MS-based proteomic analyses.
The data that is commonly extracted from TSI curves includes: time to onset of enhancement, relative signal intensity (RSI), ratio of the maximum post-contrast SI to the pre-contrast SI which is a measure of the degree of enhancement, initial slope of the curve which is a measure of rate of enhancement and area under the curve which represents overall enhancement [ 22].
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Examples of sources of secondary data that are commonly used in epidemiological studies include birth and death certificates, population census records, patient medical records, disease registries, insurance claim forms and billing records, public health department case reports, and surveys of individuals and households.
In addition, SMDM is suited to handling non-Gaussian distributed data that are commonly observed in batch processes.
This chapter presents models of processes and data that are commonly applied in approaches to water network design.
These graph structures are complex representations of data that are commonly used to represent things like customer purchasing preferences and GPS navigation information.
This gives rise to count data that are commonly collected in medical and dental research.
Some authors mention the fact that big data can be data that are commonly collected without an immediate use: "Massive amounts of data are commonly collected without an immediate business case, but simply because it is affordable.
Using data from administrative sources was another strength since it is more objective than survey-derived data that are commonly used for research in this area and are often affected by biases (ie, recall, reporting and selection), and missing information.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com