aertslab / arboreto

A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.
BSD 3-Clause "New" or "Revised" License
54 stars 25 forks source link

GRNboost2 importance vs GENIE3 weights #25

Open jfouyang opened 4 years ago

jfouyang commented 4 years ago

Hi, I would like to ask what is the difference between: i) importance calculated from GRNboost2 and ii) weights calculated from GENIE3

Are these values comparable in anyway? Or can I scale the numbers so that they are comparable?

luoboqingcai81 commented 4 years ago

I have the same questions , and i also wonder how to use the GRNboost2 result into the SCENIC

gmoore5 commented 2 years ago

Hi I just downloaded this package and wondering this too. How do I evaluate important values?

divyanshusrivastava commented 2 years ago

Its 2022... Can someone please answer this now? How exactly are the "importance" scores calculated in GRNBoost implementation ?

mpiersonsmela commented 1 year ago

It's 2023, and I still have the same question.