Extract top weighted features from a logistic regression classifier
Usage
get_top_markers(result, feature_names = NULL, top_n = 10)
Arguments
- result
scClustEval result object (from self_projection)
- feature_names
Names of features (genes). If NULL, uses column indices
- top_n
Number of top features per class (default: 10)
Value
Data frame with columns: class, feature, weight