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

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)