Sentence examples for set of false negatives from inspiring English sources

The set of false negatives (genes predicted as dispensable by the model but shown to be essential experimentally) included genes which had potential homologues with annotations of only moderate confidence and maybe unable to replace the activity of their deleted isoenzyme.

Because a random selection of mutations from COSMIC would likely return mutations only for these two articles, we have done three separate random selections: for each of these two articles, a selection of 10 mutations from the set of false negatives, as well as 85 mutations from the set of false negatives remaining after removing these two articles.

After predicting sets of false negative correcting and gap-filling reactions, each of these sets of solution reactions was added to the iJO1366 model one at a time.

To examine biological meanings in TDE genes detected by only HMM, we further performed gene clustering coexpression patterns to see if those gene sets have possibility of false negatives in altered expression of cooperative genes and gene functional pathway analyses.

The cost ratio of false negatives to false positives was set at 20 to 1 a priori and built into the algorithm.

While false positives were difficult to distinguish computationally, we were able to reduce the number of false negatives by providing an additional training data set with HIV-1 human HIV-1 human-specific classes of false negatives annotated in text.

First, current GI data sets contain very few false positives but high rates of false negatives (17 40%) [ 8].

The occurrence of false negatives and validation was performed for a set of 130 pesticides.

Alternate statistical methods such as ANOVA testing produced transcript lists that, while effectively reducing the dimensionality or sample size of the data set, increased the rate of false negative data thus hampering our ability to generate meaningful hypotheses from the data.

FN – number of false negatives.

The percentage of false negatives decreases, but false positives increase.