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The phrase "information quite different from" is correct and usable in written English.
It can be used when comparing or contrasting different types of information or data. Example: "The study revealed information quite different from previous research findings."
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That makes the information quite different from what is usually seen in insider trading cases, which mostly involve nonpublic data about an individual company.
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It is noteworthy that the information is quite different from data derived from actuarial BCFS, in which the absolute differences between each intrinsic subtype and luminal A were comparable at two time points: 36 and 60 months.
Electric cables used to transmit information are quite different from power cables, both in function and in design.
The inclusion of activity context in a mobile setting is motivated by the fact that the needs of mobile users regarding information access are quite different from those of stationary users [52].
Genomic data are quite different from CT or MRI scans; the levels of depth and complexity of the information content are not the same.
[1] This is quite different from information gained from large double blind randomized clinical trails which is statistical in form, based in bivalent Aristotelian logic and probability theory.
By searching for one of the most comprehensive protein database (UniRef100 in UniProt), and using a very inclusive threshold to maximize the number of sequences used, EFIN ensures a thorough use of information from homologs, which is quite different from most existing programs.
As an example, the powerful group theoretic insights and consideration of time-varying environments that permit the construction of error-robust, bounded-strength SU 2) operations for quantum information in Viola's DCG framework are quite different from the geometric considerations and quasi-static noise assumptions widely employed in NMR composite pulsing.
For a recessive or dominant model, Marchini et al showed that the post-analysis measures are quite different from the preanalysis information measure r.
Since the decision makers' experience, cognitions and knowledge background are quite different from each other, sometimes the preference information they provided may be various and different.
This is quite different from evaluating a short item of given information and choosing from a set of multiple-choice responses.
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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