I've come to the realisation that if I don't have time to review a paper when the request comes in, I probably won't have time to review it in 2 weeks either. The imaginary less busy future never seems to arrive within 2 weeks. Therefore I should accept and review within a few days or decline.

We think this work will be useful for 1) those choosing an existing method to score a genetic interaction screen and 2) those developing new genetic interaction scoring systems as it provides a framework for benchmarking. Thanks to @researchireland.ie for funding!

We find that no single method performs best across all screens, but one (Gemini) performs well across most and has an available R package (Gemini).

1) we develop a benchmark that allow us to compare the performance of different scoring methods when applied to a single screen and 2) we systematically apply this benchmark to 5 scoring methods applied across 5 published screens.

Multiple methods for scoring genetic interactions from combinatorial screens have been published, but comparison across methods has been limited. Most published screens use distinct scoring methods, making comparison across published work difficult. Here we make two contributions....

looks like a super resource, congrats on getting it out! I think having a large number of GIs measured in a single genetic background will be a really useful complement to DepMap. we're only starting to dig into the data now, will let you know how we get on!

I too am 'programming' with Claude! it's fun isn't it?