Topic-trait correlation heatmap

[adamklie]

This is something that @nargesr implements in Topyfic: https://github.com/mortazavilab/Topyfic/blob/main/Topyfic/analysis.py#L438.

Correct me if I'm wrong, but it looks like it tries to binarize all categorical traits you pass in and calculate a spearman correlation between those binary vectors and the cell participation vector for each program. It also tries to remove noise from the bottom of the participation vector using the min value as a threshold.

I like the idea of having some kind of global view of the associations between each program (x-axis) and covariates (y-axis). A heatmap seems a logical choice, but we should come to an agreement on what the statistic we want to show is and how we want to present it. Spearman could make sense on continuous variables, but maybe kruskal-wallis makes more sense for categorical variables.

Whatever we end up, we should probably implement it in plotly (shouldn't be too hard)

[adamklie]

Have a working implementation of this in: #35

• Should compute this in evaluations though, not on the fly

[adamklie]

Addressed in #45. Closing for now