% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/ranking.R
\name{rank_genes}
\alias{rank_genes}
\title{Rank genes based on how ubiquitous they are.}
\usage{
rank_genes(
  cross_sample_metric = "above_95",
  cross_sample_weight = 0.5,
  mean_expression_weight = 0.25,
  sd_expression_weight = -0.25
)
}
\arguments{
\item{cross_sample_metric}{Metric to use for calculating the number of
samples a gene is expressed in. One of \code{above_95}, \code{above_median} or
\code{above_zero}.}

\item{cross_sample_weight}{Weighting of the cross sample metric within the
final score.}

\item{mean_expression_weight}{Weighting of the gene's mean expression within
the final score.}

\item{sd_expression_weight}{Weighting of the standard deviation of the
gene's expression within the final score.}
}
\value{
A \code{data.table} with gene data as well as the scores, ranks and
percentiles for each gene.
}
\description{
This function will compute a weighted average across multiple metrics that
define how ubiquitous a gene is based on its expression across samples.
}