Sentence examples for be defined as false from inspiring English sources

Exact(2)

In order for conditions to be defined as false positives in the incident analysis, they had to have been present in both the 36-month prevalent and incident periods, but then to drop out of the prevalent period as it became shorter.

A range of metabolic features were observed to be statistically different in only one of the two studies and a subset of metabolic features was reproducibly observed in both independent studies; 49.0 to 97.9% of statistically significant features defined in one study were not reported as statistically significant in the other study and can therefore be defined as false positives.

Similar(58)

If one truly positive sample in the clinical samples was negatively detected by our method, the result was defined as false negative, and vice versa.

Ghosts are defined as false targets originating for example in the localization phase when the measured bistatic ranges applied for the target position estimation do not belong to the same target [22].

The True Positives (TP) in z were defined as genes present in x, while those corresponding to r were defined as False Positives (FP).

Novel SNPs identified in our results were defined as false discovery loci, and missing SNPs in our results were defined as false negative.

Negative bins predicted as positives were defined as False Negatives (FNs).

Weak signal intensities were defined as (false) negatives, since it was impossible to determine the sequence with the stringent filter criteria applied.

If the final diagnosis during surgery showed malignancy and the diagnosis based on the results of the biopsy procedure was benign or nondiagnostic, the biopsy result was defined as false negative (FN).

The Proteome Discoverer software generates a reverse "decoy" database from the same protein database and any peptides passing the initial filtering parameters that were derived from this decoy database are defined as false positive identifications.

Proteome Discoverer generates a reverse "decoy" database from the same protein database, and any peptides passing the initial filtering parameters that were derived from this decoy database are defined as false positive identification.

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