How to find all features used in training

[XinyeZhao]

Hi scDblFinder team!

It's mentioned in the paper that scDblFinder utilizes multiple features obtained from the Knn network, such as projections on principal components; library size; the number of detected features; and co-expression scores. But I can only find the scDblFinder.weighted and scDblFinder.cxds_score in the output R object. Could you tell me how to obtain all features used in training GDBT tree in the R object?

Thanks

[plger]

Hi, if you use retType="table", the output will be a data.frame containing all the variables for both real cells and artificial doublets. Pierre-Luc