ISS patcher

Project home page here.

Function docstrings

iss_patcher.patch(iss, gex[, min_genes, ...])

Identify the nearest neighbours of low dimensionality observations in related higher dimensionality data, approximate features absent from the low dimensionality data as high dimensionality neighbour means.

iss_patcher.patch_twostep(iss, gex, annot_key)

A two-step version of the procedure, identifying each low dimensional cell's KNN in the shared high dimensional feature space in the first go, and then finding each low dimensional cell's KNN only among the high dimensional cells matching in annotation.

iss_patcher.knn(iss, gex, gex_only[, ...])

ip.patch() without the normalisation, for when custom data preparation is desired.