Sentence examples for predicted to be false from inspiring English sources

So the sentence is predicted to be false.

Applying this, both The gold is in the safe and The gold is not in the safe are predicted to be false.

Numbers of genes under the FDR are the ones predicted to be false positives and the proportion over all detected transcripts.

Reconciliation of discrepancies between the in silico prediction results and experimental results showed that a majority of the reconciled metabolic reactions are those that were predicted to be false positives.

Here, Pindel [ 22] identified a deletion candidate causing a potential frameshift, which our post-classification method predicted to be a false one; this prediction was confirmed by one of the Sanger sequences.

Compounds mistakenly predicted to be inactive – false negatives – represent a missed opportunity in the context of lead optimization, but they have the potential to be downright catastrophic (and ruinous) in the context of predictive toxicology.

When N−+ = 0 meaning that none of the true splice site-containing sequences was incorrectly predicted to be a false splice site-containing sequence, we have the sensitivity Sn = 1.

Then each shRNA was classified as a true positive (effective predicted to be effective), a false negative (effective predicted to be ineffective), a true negative (ineffective predicted to be ineffective) or a false positive (ineffective predicted to be effective).

A true positive (TP) prediction refers to a gene correctly predicted to be essential, whereas a false negative (FN) prediction refers to a gene incorrectly predicted to be non-essential.

For this purpose, the result of each leave-one-out experiment was classified as either a true positive (TP - correctly predicted lignocellulose degraders), true negative (TN - correctly predicted non-degraders), false positive (FP - non-degraders predicted to be degraders) or a false negative assignment (FN - degraders predicted to be non-degraders).

The amount of false predictions is predicted to be low since the algorithm makes higher amount of unspecific assignments to higher taxonomy levels [ 20].