QQNorm: Quantile-Quantile normalization for count data
In xzhoulab/iDEA: Integrative Differential Expression and Gene Set Enrichment Analysis
QQNorm R Documentation
Quantile-Quantile normalization for count data
Description
Quantile-Quantile normalization for count data
Usage
QQNorm(counts, lib_size = NULL)
Arguments
counts
Raw count data, each column is a cell and each row is a gene.
lib_size
Read deepth for each cell, For default, summarize all read counts across whole genes.
Value
Return normalized data
xzhoulab/iDEA documentation built on Oct. 8, 2022, 8:54 a.m.
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| QQNorm | R Documentation |
Quantile-Quantile normalization for count data
Description
Quantile-Quantile normalization for count data
Usage
QQNorm(counts, lib_size = NULL)
Arguments
counts |
Raw count data, each column is a cell and each row is a gene. |
lib_size |
Read deepth for each cell, For default, summarize all read counts across whole genes. |
Value
Return normalized data
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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