ProjectSimUMAP: Project a normalized simulated vector of cell expression onto...

In rahuldhodapkar/crules: Association Rule Learning Toolkit for Single Cells

Description

Project a normalized simulated vector of cell expression onto UMAP space given an normalized expression matrix. If these vectors are large (large number of genes), PCA may be performed on both 'exp.mat' and 'x.prime' to reduce computational load.

Usage

ProjectSimUMAP(exp.mat, x.prime)

Arguments

exp.mat	original expression data (E^0)
x.prime	predicted expression data (E^t)

Value

a data frame with umap coordinates for the cells and simulated states (x1,y1) -> (x2,y2) where each row corresponds to a cell in the original dataset.

rahuldhodapkar/crules documentation built on Jan. 21, 2022, 2:06 p.m.