batch.analysis.ISCCD: Analyze the inter-sample correlation and distance
In minzheguo/SINCERA: An R implementation of SINCERA pipeline for processing single-cell RNA-seq data.
View source: R/preprocessing.R
Description
Analyze the inter-sample correlation and distance
Usage
1
2
batch.analysis.ISCCD(x, s1.cols, s2.cols, s1.label = "s1", s2.label = "s2",
file.prefix = NULL, fig.res = 150)
Arguments
x
The expression matrix; rows are genes, cells are columns.
s1.cols
(numeric) the column indices for the first set of cells
s2.cols
(numeric) the column indices for the second set of cells
s1.label
(character) the name for the first set of cells
s2.label
(character) the name for the second set of cells
fig.prefix
(character) the file prefix of the output figure; if file.prefix is null, the figure will be plotted to the screen
minzheguo/SINCERA documentation built on Feb. 3, 2021, 2:31 p.m.
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View source: R/preprocessing.R
Description
Analyze the inter-sample correlation and distance
Usage
1 2 | batch.analysis.ISCCD(x, s1.cols, s2.cols, s1.label = "s1", s2.label = "s2",
file.prefix = NULL, fig.res = 150)
|
Arguments
x |
The expression matrix; rows are genes, cells are columns. |
s1.cols |
(numeric) the column indices for the first set of cells |
s2.cols |
(numeric) the column indices for the second set of cells |
s1.label |
(character) the name for the first set of cells |
s2.label |
(character) the name for the second set of cells |
fig.prefix |
(character) the file prefix of the output figure; if file.prefix is null, the figure will be plotted to the screen |
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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