search

WayScience / Benchmarking_NF1_data

Benchmarking data processing strategies for Cell Painting data of NF1 Schwann cells. See analysis repository (https://github.com/WayScience/NF1_SchwannCell_data_analysis) for information on how the data was interpreted.
Creative Commons Zero v1.0 Universal
6 stars 18 forks source link

Linear model and power analysis for both DP feature sets #32

Open gwaybio opened 1 year ago

gwaybio commented 1 year ago

Currently, we use only one of the DP feature sets for linear modeling and power analysis. We should use both.

It would also be good to clarify what is different between the feature spaces. Are there differences per single cell feature? This might help us to zero in on efficientnet features that are significantly capturing nuclei or cytoplasm!

jenna-tomkinson commented 1 year ago

This is something that we should have analysis for. The difference in the DP feature sets is what object is used to measure the features. So nuc project uses nuclei objects and cyto project uses whole cell objects.

So essentially this is like CP where there are different objects but there are two different outputs since DP can only run one object at a time.