qc_cells: Compute quality control metrics for each cell
In jmonlong/scCNAutils: Functions to analyze copy number aberrations in single-cell data
qc_cells R Documentation
Compute quality control metrics for each cell
Description
From raw gene expression, a few QC metrics are computed.
Usage
qc_cells(ge_df, cell_cycle = NULL)
Arguments
ge_df
the input gene expression with a 'symbol' column and then one
column per cell.
cell_cycle
if non-null, either a file or data.frame to compute cell
cycle scores. See details.
Details
If cell_cycle is provided it should be a data.frame (or a tsv file) with
two columns: 'symbol' with gene names, and 'phase' with the cell cycle phase
(e.g. either 'G1.S' or 'G2.M').
Value
a data.frame with qc metrics per cell.
Author(s)
Jean Monlong
jmonlong/scCNAutils documentation built on May 3, 2022, 4:34 a.m.
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| qc_cells | R Documentation |
Compute quality control metrics for each cell
Description
From raw gene expression, a few QC metrics are computed.
Usage
qc_cells(ge_df, cell_cycle = NULL)
Arguments
ge_df |
the input gene expression with a 'symbol' column and then one column per cell. |
cell_cycle |
if non-null, either a file or data.frame to compute cell cycle scores. See details. |
Details
If cell_cycle is provided it should be a data.frame (or a tsv file) with two columns: 'symbol' with gene names, and 'phase' with the cell cycle phase (e.g. either 'G1.S' or 'G2.M').
Value
a data.frame with qc metrics per cell.
Author(s)
Jean Monlong
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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