detect_genes

<p>Numeric indicating expression threshold</p>

min_expr

<p>For each gene in a cell_data_set object, detect_genes counts
how many cells are expressed above a minimum threshold. In addition, for
each cell, detect_genes counts the number of genes above this threshold that
are detectable. Results are added as columns num_cells_expressed and
num_genes_expressed in the rowData and colData tables respectively.</p>

Monocle 3 performs clustering, differential expression and
trajectory analysis for single-cell expression experiments. It orders
individual cells according to progress through a biological process,
without knowing ahead of time which genes define progress through that
process. Monocle 3 also performs differential expression analysis,
clustering, visualization, and other useful tasks on single-cell expression
data.  It is designed to work with RNA-Seq data, but could be used with
other types as well.

Cole Trapnell

detect_genes: Detects genes above minimum threshold.

Description

Usage

Arguments

Value

Examples