limma_resolveArray: Basic produce of limma
In xiayh17/RNAseqStat2: A Pipeline to Process RNAseq Data
View source: R/degResolveArray.R
limma_resolveArray R Documentation
Basic produce of limma
Description
A basic function to get data and produce results of limma
Usage
limma_resolveArray(expr_data, group_list, control_group, case_group)
Arguments
expr_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)
case_group
the name of the numerator level for the fold change (Test group)
Value
a DEG data frame
Examples
limma_resolve(counts_input, group_list, control_group= "C", case_group = "T")
xiayh17/RNAseqStat2 documentation built on May 27, 2023, 12:13 p.m.
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View source: R/degResolveArray.R
| limma_resolveArray | R Documentation |
Basic produce of limma
Description
A basic function to get data and produce results of limma
Usage
limma_resolveArray(expr_data, group_list, control_group, case_group)
Arguments
expr_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) |
case_group |
the name of the numerator level for the fold change (Test group) |
Value
a DEG data frame
Examples
limma_resolve(counts_input, group_list, control_group= "C", case_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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