In some cases, these methods are paired to provide greater insight and certainty.
Although a lot of vibration diagnostic techniques have been developed, in many cases these methods are quite complicated to use and are time consuming.
These results suggest that sampling over long periods using constant methods is key to detecting changes over time in abundance and phenology; in many cases these methods can be made more efficient by reducing sampling intensity without losing the ability to detect trends.
Moreover, in most of the cases, these methods do not consider the impact of human visual perception.
Since proteins with more than one interaction partner are rare cases, these methods have a low sensitivity (i.e., a low true positive rate) although they have a high specificity (i.e., a low false positive rate).
While not suited as stand-alone detection algorithms in all cases, these methods can provide regions of interest with sufficiently high confidence to allow higher-level, object-based classification methods to use them as prior input.
In many cases, these methods resulted in inaccuracies in the data.
Furthermore, in many cases these methods do not allow precise physical mapping of integrative viral sequences.
