The reason behind choosing the metric UDR in this paper is explained as follows: in the existing literature, false positive rate or false discovery ratio or false detection ratio (FDR) was used and defined as the ratio of the number of nodes incorrectly identified by the system to the number of nodes actually falling under that group.
It is still impossible to detect PUs perfectly, so there are cases of false positive errors caused by wrong judgement of the nonexistent PU as existing and false negative errors caused by vice versa.
The overwhelming literature in Political Psychology finds that when confronted with accurate information contradicting pre-existing false beliefs, most respondents stubbornly maintained those beliefs and, in some cases, became more convinced.
These parameters were chosen by taking into account the following considerations (but otherwise arbitrary): (1) to simulate a set of biomarkers that have a variety of performance levels for a single biomarker and a medium performance level for the model; (2) to allow for useless existing biomarkers (false positives from previous studies); and (3) to be simple.
Very few false matches existing in our results can be effectively eliminated by the filtering operation (e.g. Kalman filter).
When (u_{f_{i}rightarrow u_{i,l}} u_{i,l}=0)) and (u_{f_{i}rightarrow u_{i,l}} u_{i,l}neq 0)) are close to each other, we prefer there is no signal existing to reduce the false alarm of the interference.
With tuned parameters, FluReF, when run on these simulated datasets, finds no false positives (nonexistent reassortment) and fails to find 10% of the existing reassortments, for a 0% false positive rate and a 10% false negative rate.
Further improvements for complex mining can be obtained by improving the quality of the PPI data with new and more powerful experimental detection technologies, or with computational approaches for validating the existing protein interactions (to address false positive interaction issue) and predicting novel protein interactions (to address false negative interaction issue).
But instead of investing the money, he simply used deposits from new clients to pay out false profits to existing investors.
