In simple cases of jaw deformity without yaw correction, conventional cephalometric prediction works well.
Ab initio prediction works well for some organisms, such as yeast, nematodes, and the fruit fly.
However, it is important that prediction models work well also in patients without ascites.
We favour the approach in this study as we expect de-novo prediction to work well on both familiar and lesser studied ERVs, an important consideration when we examine genomes that are relatively distant from humans.
In this case, the model prediction may not work well.
Traditional link prediction methods usually work well on homogeneous networks, but few for the heterogeneous ones.
Standard statistical methodologies in classification and prediction do not work well or even at all when N (a number of samples)
We decided to exclude plasmids from our analysis because gene prediction methods do not work well on very small sequences, and plasmids typically represent only a small percentage of a genome.
To make use of the scores more generally, we developed a method that summarizes the scores for all 73,815 predictions and highlights regulators that work well together.
For SV prediction, CREST was shown to work well in the experiments presented here, but any base pair resolution SV detection algorithm would also be compatible as well, such as the more recently developed PRISM [ 18] or DELLY [ 28].
