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Description
- Provide description of dataframe/input that enters the model
- Provide a list of options of function for data type of input from which user can choose:
-- Example:
func_type = {"marker": neighborhood_to_marker, "cluster": neighborhood_to_cluster, "avg_marker": neighborhood_to_avg_marker, "count": neighborhood_to_count}
if TYPE == "marker" or TYPE == "avg_marker":
neighborhood_feature_fn = functools.partial(func_type[TYPE], markers = markers)
else:
neighborhood_feature_fn = functools.partial(func_type[TYPE])
- Make "anchor cell" more generalizable/define more clearly (since most data sets will probably have all cells as anchors
- Enable user to plot 1 FOV at a time (plot_samples_in_a_row does not work when only one fov number is input)
-- Maybe rename visualization functions as "sample" instead of "tumor" since not all MIBI images will be of tumors - Enable user to save resulting plots (currently plots are produced within the function, so to plot, it would require user to modify function)
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