score_cells: Compute marker scores (average marker expression) in a target...

In gillislab/MetaMarkers: Extract robust markers from multiple datasets

Description

Compute marker scores (average marker expression) in a target dataset

Usage

score_cells(expr, marker_set)

Arguments

expr	Expression matrix (with genes as rows) of the target dataset in sparse or dense format. We recommend providing log-normalized counts.
marker_set	Marker sets, usually a marker data.frame generated by MetaMarkers. Other possible inputs are: a named list (where names are cell types and values are genes), or a gene x cell type weight matrix (marker scores = weighted average expression).

Value

A cell type x cell matrix containing marker scores.

gillislab/MetaMarkers documentation built on April 24, 2021, 9:25 p.m.