mcesApply: Multicore apply-like function for CellDataSet

In monocle: Clustering, differential expression, and trajectory analysis for single- cell RNA-Seq

Description

mcesApply computes the row-wise or column-wise results of FUN, just like esApply. Variables in pData from X are available in FUN.

Usage

mcesApply(X, MARGIN, FUN, required_packages, cores = 1,
  convert_to_dense = TRUE, ...)

Arguments

X	a CellDataSet object
MARGIN	The margin to apply to, either 1 for rows (samples) or 2 for columns (features)
FUN	Any function
required_packages	A list of packages FUN will need. Failing to provide packages needed by FUN will generate errors in worker threads.
cores	The number of cores to use for evaluation
convert_to_dense	Whether to force conversion a sparse matrix to a dense one before calling FUN
...	Additional parameters for FUN

Value

The result of with(pData(X) apply(exprs(X)), MARGIN, FUN, ...))

monocle documentation built on Nov. 8, 2020, 5:06 p.m.