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OPLS was developed to deal with complex data consisting of systematic variation from multiple origins (biological, analytical, etc)., such as metabolomic data, by splitting information in one part correlated to a certain response (for example disease status), and one part uncorrelated (i.e. orthogonal) to the response.
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Virtual screening supports parallelization among compounds by splitting data into distinct screening jobs.
The chapter explains how splitting information into a number of parts is a good way to make information disappear.
To design full diversity STB code, the threaded layering approach consists in splitting information symbols into disjoint threads.
For example splitting structure (resources and organization) and process (personal relationships) or splitting information about women's health and information about the child.
For each drug with splitting information (n = 10553 tablets and capsules) icons were displayed in the drug information system.
Whereas in crowdsensing, a bottom-up approach is adopted and the aim is to understand or sense a complex problem of interest by splitting the responsibility of harvesting relevant information to the crowd and then aggregating the results to obtain an emergent outlook of the phenomenon [10, 21].
By splitting firms into groups with different levels of asymmetric information, we can investigate the impact of asymmetric information and agency problems on firms with different characteristics.
Annotation to GenBank was performed by splitting 2894 contigs into their respective ESTs, that were attached with the information of top ranking hits (score ≤ e-05) from all blast algorithms performed.
Besides, by splitting queries in multiple user profiles, this method only decreases the disclosure of information.
Training data are divided into five groups by splitting each dataset into five approximately equally sized subgroups.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com