run_limma: Basic produce of limma
In xiayh17/RNAseqStat: A Pipeline to Process RNAseq Data
run_limma R Documentation
Basic produce of limma
Description
A basic function to get data and produce results of limma
Usage
run_limma(counts_data, group_list, control_group, test_group)
Arguments
counts_data
a counts data frame of rows in genes and columns in samples
group_list
a character vector ordered by samples in counts_data
control_group
the name of the denominator level for the fold change (Control group)
test_group
the name of the numerator level for the fold change (Test group)
Value
a DEG data frame
Examples
run_limma(counts_input, group_list, control_group= "C", test_group = "T")
xiayh17/RNAseqStat documentation built on June 16, 2022, 11:51 a.m.
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| run_limma | R Documentation |
Basic produce of limma
Description
A basic function to get data and produce results of limma
Usage
run_limma(counts_data, group_list, control_group, test_group)
Arguments
counts_data |
a counts data frame of rows in genes and columns in samples |
group_list |
a character vector ordered by samples in counts_data |
control_group |
the name of the denominator level for the fold change (Control group) |
test_group |
the name of the numerator level for the fold change (Test group) |
Value
a DEG data frame
Examples
run_limma(counts_input, group_list, control_group= "C", test_group = "T")
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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