swh:1:snp:0da231f3ffdb3226650880f1b61d5d5cdcbd749b
Tip revision: 656fc8b562d53e5d0cedda9e09d9dda81e8c00e9 authored by David Collins on 29 February 2024, 13:44:33 UTC
Merge pull request #8550 from satijalab/develop
Merge pull request #8550 from satijalab/develop
Tip revision: 656fc8b
FindConservedMarkers.Rd
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/differential_expression.R
\name{FindConservedMarkers}
\alias{FindConservedMarkers}
\title{Finds markers that are conserved between the groups}
\usage{
FindConservedMarkers(
object,
ident.1,
ident.2 = NULL,
grouping.var,
assay = "RNA",
slot = "data",
min.cells.group = 3,
meta.method = metap::minimump,
verbose = TRUE,
...
)
}
\arguments{
\item{object}{An object}
\item{ident.1}{Identity class to define markers for}
\item{ident.2}{A second identity class for comparison. If NULL (default) -
use all other cells for comparison.}
\item{grouping.var}{grouping variable}
\item{assay}{of assay to fetch data for (default is RNA)}
\item{slot}{Slot to pull data from; note that if \code{test.use} is
"negbinom", "poisson", or "DESeq2", \code{slot} will be set to "counts"}
\item{min.cells.group}{Minimum number of cells in one of the groups}
\item{meta.method}{method for combining p-values. Should be a function from
the metap package (NOTE: pass the function, not a string)}
\item{verbose}{Print a progress bar once expression testing begins}
\item{\dots}{parameters to pass to FindMarkers}
}
\value{
data.frame containing a ranked list of putative conserved markers, and
associated statistics (p-values within each group and a combined p-value
(such as Fishers combined p-value or others from the metap package),
percentage of cells expressing the marker, average differences). Name of group is appended to each
associated output column (e.g. CTRL_p_val). If only one group is tested in the grouping.var, max
and combined p-values are not returned.
}
\description{
Finds markers that are conserved between the groups
}
\examples{
\dontrun{
data("pbmc_small")
pbmc_small
# Create a simulated grouping variable
pbmc_small[['groups']] <- sample(x = c('g1', 'g2'), size = ncol(x = pbmc_small), replace = TRUE)
FindConservedMarkers(pbmc_small, ident.1 = 0, ident.2 = 1, grouping.var = "groups")
}
}
\concept{differential_expression}