To understand how the performance of different methods could be influenced, we examined if the disease genes uniquely identified by individual methods had distinctive topological properties.
In the absence of a dataset of bona fide multifunctional proteins with which the methods could be benchmarked, we reasoned that proteins multiclustered by all three methods are the most likely candidates for multifunctionality.
Various clustering methods could be used and we choose one of the simplest described in the section Methods.
To show the gain this method could have, we now compare the final ambiguity functions obtained by using and.
Both methods could prove contentious.
His methods could yield striking likenesses.
These methods could be compatible.
Our method could be improved if we could estimate copy number directly from Illumina reads, but we see no straightforward way to do this given potential complications with de novo assembly of repetitive regions and individual TE insertions.
We finally asked them through which methods we could reach parents to invite them to the intervention.
Details on how we generated the synthetic data can be found in Section 2. To test whether each method could identify the PTMs, we fixed the number of clusters (K) for each algorithm.
