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Table 1 Experimental results of a 23-set data on no-subject True False Missing Error Total Number 21 230 0 23 Percentage 91%9%0%0%100%100%.
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PPI networks typically contain large amounts of false negative (missing data) and false positive connections.
False negative (missing true exacerbations) and false positive (identifying non-existent exacerbations) responses were calculated.
may both cause false negatives (missing the disease gene) as false positives (genes incorrectly identified as promising because of incorrect association with other genes).
Our simulation set-up generates both false positives (incorrect transcripts) and false negatives (missing transcripts).
It shouldn't have high rates of false positives (diagnosing someone without the condition) or false negatives (missing someone who does have it).
Furthermore, high-throughput PPI data suffers from significant amounts of noise, in terms of false positives (spuriously detected interactions) as well as false negatives (missing interactions).
The tracking algorithm is also able to handle false and missing detections through a probabilistic data association stage.
Only false negatives — missing a hidden drug sample — can cause a team to fail.
Evaluating this list for false negatives (missing chemical target interactions) is limited by publically available information.
False and missing orthology assignments could be attributed in most cases to missing or only incomplete gene predictions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com