dm_predict: Predict new data points using an existing DiffusionMap. The...

In destiny: Creates diffusion maps

Description

Predict new data points using an existing DiffusionMap. The resulting matrix can be used in the plot method for the DiffusionMap

Usage

dm_predict(dm, new_data, ..., verbose = FALSE)

Arguments

dm	A DiffusionMap object.
new_data	New data points to project into the diffusion map. Can be a matrix, data.frame, ExpressionSet, or SingleCellExperiment.
...	Passed to proxy::dist(new_data, data, dm@distance, ...).
verbose	Show progress messages?

Value

A nrow(new\_data) \times ncol(eigenvectors(dif)) matrix of projected diffusion components for the new data.

Examples

data(guo)
g1 <- guo[, guo$num_cells != 32L]
g2 <- guo[, guo$num_cells == 32L]
dm <- DiffusionMap(g1)
dc2 <- dm_predict(dm, g2)
plot(dm, new_dcs = dc2)

destiny documentation built on Nov. 8, 2020, 7:38 p.m.