getConditionCountStats: Compute mean and standard deviation of normalized counts for...
In timjeske/DEUS: Differential expression of unique sequences
Description
Usage
Arguments
Value
Description
Compute mean and standard deviation of normalized counts for each condition
Usage
1
2
getConditionCountStats(count_table, pheno_info,
condition_col = "condition")
Arguments
count_table
A table of (normalized) sequence counts.
A sequence count table can be generated by createCountTableFromFastQs and normalized by applying runDESeq2
pheno_info
A data frame with sample names as row names and one or more condition columns.
condition_col
Name of the column that should be used as the condition to group the samples.
Value
A data frame with sequences as row names and the mean and standard deviation for each condition defined in pheno_info
timjeske/DEUS documentation built on June 6, 2019, 12:59 p.m.
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Description Usage Arguments Value
Description
Compute mean and standard deviation of normalized counts for each condition
Usage
1 2 | getConditionCountStats(count_table, pheno_info,
condition_col = "condition")
|
Arguments
count_table |
A table of (normalized) sequence counts. A sequence count table can be generated by createCountTableFromFastQs and normalized by applying runDESeq2 |
pheno_info |
A data frame with sample names as row names and one or more condition columns. |
condition_col |
Name of the column that should be used as the condition to group the samples. |
Value
A data frame with sequences as row names and the mean and standard deviation for each condition defined in pheno_info
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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