View source: R/nearest_neighbors.R
make_cds_nn_index | R Documentation |
Make a nearest neighbor index from the specified reduction_method matrix in the cell_data_set using either the default nearest neighbor method or the method specified in the nn_control list parameter, and store the index in the cell_data_set. This function returns a cell_data_set.
make_cds_nn_index(
cds,
reduction_method = c("UMAP", "PCA", "LSI", "Aligned", "tSNE"),
nn_control = list(),
verbose = FALSE
)
cds |
a cell_data_set with the reduced dimension matrix from which to make the nearest neighbor index and with which the index is stored. |
reduction_method |
a string giving the reduced dimension matrix to use for making the nn_index nearest neighbor index. Note: distances in tSNE space reflect spatial differences poorly so using nearest neighbors with it may be meaningless. |
nn_control |
a list of parameters to use for making the nearest neighbor index. See the set_nn_control help for details. |
verbose |
a boolean indicating whether to emit verbose output. |
a cell_data_set with the stored index.
cds <- load_a549()
cds <- preprocess_cds(cds)
cds <- make_cds_nn_index(cds, 'PCA')
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