cqn: Conditional Quantile Normalization (CQN)
In Sage-Bionetworks/sageseqr: Identify differentially expressed genes counts data
cqn R Documentation
Conditional Quantile Normalization (CQN)
Description
Normalize counts by CQN. By providing a biomart object, the systematic effect of GC content
is removed and gene length (in bp) variation is accounted for. Genes with missing GC content
or gene lengths will be removed from the counts matrix.
Usage
cqn(filtered_counts, biomart_results)
Arguments
filtered_counts
A counts data frame with genes removed that have low expression.
biomart_results
Output of "sageseqr::get_biomart()". Gene Ids are
stored as rownames.
Sage-Bionetworks/sageseqr documentation built on June 13, 2024, 2:11 p.m.
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| cqn | R Documentation |
Conditional Quantile Normalization (CQN)
Description
Normalize counts by CQN. By providing a biomart object, the systematic effect of GC content is removed and gene length (in bp) variation is accounted for. Genes with missing GC content or gene lengths will be removed from the counts matrix.
Usage
cqn(filtered_counts, biomart_results)
Arguments
filtered_counts |
A counts data frame with genes removed that have low expression. |
biomart_results |
Output of |
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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