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Generate a null distribution of P(Condition_1) estimates.

generate_null_dist.Rd

generate_null_dist() shuffles the sample labels three times and returns the estimates of P(Condition_1) for each shuffled dataset.

Usage

generate_null_dist(
  cells,
  model,
  label_names,
  label_1,
  label_2,
  verbosity,
  da_mode
)

Arguments

cells

Seurat object containing the dataset.

model

Loaded neural network model to use.

label_names

String containing the name of the meta.data slot in `cells' containing the labels of each cell.

label_1

String containing the name of one of the labels.

label_2

String containing the name of the other label.

verbosity

Integer how much output to print. 0: silent; 1: normal output; 2: display messages from predict() function.

da_mode

String containing the type of differential abundance being seeked, either "lda" (local DA) or "gda" (global DA).

Value

A vector containing a null distribution of Dawnn's model outputs for shuffled sample labels.

Examples

if (FALSE) { # \dontrun{
generate_null_dist(cells = cell_object, model = nn_model, label_names =
"synth_labels", verbosity = 1, da_mode = "lda")
} # }