Open gwaybio opened 4 years ago
We can identify morphology features that distinguish resistant from wild-type clones
We use two different (aggregated) datasets
Here, we repurpose singscore
, which is a rank-based ssGSEA-like method that generates a composite score of high and low features.
In general, it appears that the resistance signature decreases with increasing dose. However, this decrease is dependent on clone type (resistant vs. wildtype).
Here are some snippets that may be relevant when we ponder the question of of stratifying our pseudo-bulk analysis
In #57 I add a signature analysis. The purpose of this analysis is to identify morphology features that are significantly different between wildtype and resistant clones. The next step is to apply the signatures to other profiles to 1) validate the approach and 2) predict the resistance status of different samples.
This analysis was prompted by #49 .
I will describe the approach, results, and conclusions in this issue.