With IRAP*, we built on IRAP to formulate an iterative framework for removal of both false positives as well as false negatives. Removal of false positives is carried out in a similar fashion as the above  using IRAP with IG1based initial weights. Removal of false negatives is carried out by computing a similar weightin this case, it is IRAP with common neighbor counting instead of reversed IG1for each of the undetected interactions in the interactome. Potential
false positives are identified amongst the detected interactions as those with very low computed confidence values, while potential false negatives are discovered as the undetected interactions with high computed confidence values. Figure below shows the differences in IRAP and IRAP*:
To continue with our previous example, in IRAP*, the interactions are first ranked as before. The bottom 1 interaction in the entire interactome is removed from the interactions. In our example, the interaction <Fus1,Ste11> belonged to the bottom spectrum and were removed from the network as false positives.
Next, IRAP* computes the confidence values for the missing interactions using a different initial weight that is based on common neighborhood counting. In the following example, there are a total of 3 potential false negatives. The table below shows the initial and final weights of these interactions.
Since we have removed 1 interaction from the network, we replaced it with the potential false negatives by, in our current work, inserting the top new interactions into the network. In our example, the top interaction in the above table belonged to the overall top interaction <Fus3,Ste5> and is thus added to the network.
After 3 iterations of such false positive and false negative removals, we ended up with 14 interactions for the 14 proteins in our example, 3 of the original interactions were detected as false positives and hence removed from the repurified interactome, while 1 new interactions that were undetected by the Y2H screen were added to the final interactome. Our experimental evaluations reported in the manuscript showed biological evidence that the final interactome
contains more high confidence interactions that the original interactome.
