tof_upsample: Upsample cells into the closest cluster in a reference...

In keyes-timothy/tidytof: Analyze High-dimensional Cytometry Data Using Tidy Data Principles

Upsample cells into the closest cluster in a reference dataset

Description

This function performs distance-based upsampling on CyTOF data by sorting single cells (passed into the function as 'tof_tibble') into their most phenotypically similar cell subpopulation in a reference dataset (passed into the function as 'reference_tibble'). It does so by calculating the distance (either mahalanobis, cosine, or pearson) between each cell in 'tof_tibble' and the centroid of each cluster in 'reference_tibble', then sorting cells into the cluster corresponding to their closest centroid.

Usage

tof_upsample(
  tof_tibble,
  reference_tibble,
  reference_cluster_col,
  upsample_cols = where(tof_is_numeric),
  ...,
  augment = TRUE,
  method = c("distance", "neighbor")
)

Arguments

tof_tibble	A 'tibble' or 'tof_tbl' containing cells to be upsampled into their nearest reference subpopulation.
reference_tibble	A 'tibble' or 'tof_tibble' containing cells that have already been clustered or manually gated into subpopulations.
reference_cluster_col	An unquoted column name indicating which column in 'reference_tibble' contains the subpopulation label (or cluster id) for each cell in 'reference_tibble'.
upsample_cols	Unquoted column names indicating which columns in 'tof_tibble' to use in computing the distances used for upsampling. Defaults to all numeric columns in 'tof_tibble'. Supports tidyselect helpers.
...	Additional arguments to pass to the 'tof_upsample_*' function family member corresponding to the chosen method.
augment	A boolean value indicating if the output should column-bind the cluster ids of each cell as a new column in 'tof_tibble' (TRUE, the default) or if a single-column tibble including only the cluster ids should be returned (FALSE).
method	A string indicating which clustering methods should be used. Valid values include "distance" (default) and "neighbor".

Value

A 'tof_tbl' or 'tibble' If augment = FALSE, it will have a single column encoding the upsampled cluster ids for each cell in 'tof_tibble'. If augment = TRUE, it will have ncol(tof_tibble) + 1 columns: each of the (unaltered) columns in 'tof_tibble' plus an additional column encoding the cluster ids.

Examples

# simulate single-cell data (and reference data with clusters to upsample
# into
sim_data <-
    dplyr::tibble(
        cd45 = rnorm(n = 1000),
        cd38 = rnorm(n = 1000),
        cd34 = rnorm(n = 1000),
        cd19 = rnorm(n = 1000)
    )
reference_data <-
    dplyr::tibble(
        cd45 = rnorm(n = 200),
        cd38 = rnorm(n = 200),
        cd34 = rnorm(n = 200),
        cd19 = rnorm(n = 200),
        cluster_id = c(rep("a", times = 100), rep("b", times = 100))
    )

# upsample using distance to cluster centroids
tof_upsample(
    tof_tibble = sim_data,
    reference_tibble = reference_data,
    reference_cluster_col = cluster_id,
    method = "distance"
)

# upsample using distance to nearest neighbor
tof_upsample(
    tof_tibble = sim_data,
    reference_tibble = reference_data,
    reference_cluster_col = cluster_id,
    method = "neighbor"
)

keyes-timothy/tidytof documentation built on May 7, 2024, 12:33 p.m.