% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/seurat.R
\name{FeaturePlot}
\alias{FeaturePlot}
\title{Visualize 'features' on a dimensional reduction plot}
\usage{
FeaturePlot(object, features.plot, dim.1 = 1, dim.2 = 2, cells.use = NULL,
  pt.size = 1, cols.use = c("yellow", "red"), pch.use = 16,
  reduction.use = "tsne", use.imputed = FALSE, nCol = NULL,
  no.axes = FALSE, no.legend = TRUE)
}
\arguments{
\item{object}{Seurat object}

\item{features.plot}{Vector of features to plot}

\item{dim.1}{Dimension for x-axis (default 1)}

\item{dim.2}{Dimension for y-axis (default 2)}

\item{cells.use}{Vector of cells to plot (default is all cells)}

\item{pt.size}{Adjust point size for plotting}

\item{cols.use}{The two colors to form the gradient over. Provide as string vector with
the first color corresponding to low values, the second to high. Also accepts a Brewer
color scale or vector of colors. Note: this will bin the data into number of colors provided.}

\item{pch.use}{Pch for plotting}

\item{reduction.use}{Which dimensionality reduction to use. Default is
"tsne", can also be "pca", or "ica", assuming these are precomputed.}

\item{use.imputed}{Use imputed values for gene expression (default is FALSE)}

\item{nCol}{Number of columns to use when plotting multiple features.}

\item{no.axes}{Remove axis labels}

\item{no.legend}{Remove legend from the graph. Default is TRUE.}
}
\value{
No return value, only a graphical output
}
\description{
Colors single cells on a dimensional reduction plot according to a 'feature'
(i.e. gene expression, PC scores, number of genes detected, etc.)
}