Sentence examples for impossible data from inspiring English sources
The phrase "impossible data" is correct and usable in written English.
It can be used to describe data that cannot be obtained, processed, or understood due to various constraints or limitations. Example: "The researchers concluded that the project was unfeasible because they were working with impossible data that could not be verified."
Divergence in PRDM9 ZF sequences combined with large C2H2 zinc finger gene families throughout mammals made PRDM9 identification based on these sequences impossible (data not shown).
Longitudinal data was cleaned to exclude spurious or physiologically impossible data points by an a priori defined protocol.
Seedlings of ami-7.1 and ami-13.3 had major problems in growing on 5 µM ABA, making a quantitative analysis impossible (data not shown).
For all four primers, a large number of fragments were visible on the gel, making a precise estimate of the total number of fragments impossible (data not presented).
In preliminary experiments, abdominal aortas were normalized to 0.9 of L13.3kPa, but this level of applied stretch induced damage to the vessels, making reliable vascular function assessment impossible (data not shown).
According to the different iPath maps, the enzymes involved in terpenoid biosynthesis were most frequently observed in the large treatment combination EF + F. Several transcripts involved in terpenoid biosynthesis including prenyltransferases and terpene synthases were found, but low EST numbers made a statistical analysis between treatments impossible (data not shown).
The same process is impossible in data streams processing.
Although these jumps might have been real, the lack of corroboration between sensors made verification impossible and data from these tracks were therefore discarded.
There's indignation over the story, indignation over us not giving them a heads up, and a statement that it's impossible for data to be sent to CBS without Garrett's knowledge.
However, observing cell state transitions is impossible in data obtained from a single time point, emerging from e.g. flow cytometry, transcriptome or immunofluorescence analyses.
Finally, the distributions of sensitivity and specificity were adjusted upwards so that no more than 10% of simulations produced impossible corrected data (i.e. negative counts).
