NormalizeCounts: Normalization and batch effect removal adapted from pagoda2...
In yanwu2014/swne: Similarity Weighted Nonnegative Embedding: A method for visualizing high dimensional datasets
View source: R/data_processing.R
NormalizeCounts R Documentation
Normalization and batch effect removal adapted from pagoda2 [insert citation here]
Description
Normalization and batch effect removal adapted from pagoda2 [insert citation here]
Usage
NormalizeCounts(counts, depthScale = 1000, batch = NULL)
Arguments
counts
Input data matrix
depthScale
Rescale all columns to this value
batch
Factor the same length as ncol(counts) which contains batch effects to remove
Value
Normalized data matrix with batch effects removed
yanwu2014/swne documentation built on Aug. 5, 2023, 4:42 a.m.
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View source: R/data_processing.R
| NormalizeCounts | R Documentation |
Normalization and batch effect removal adapted from pagoda2 [insert citation here]
Description
Normalization and batch effect removal adapted from pagoda2 [insert citation here]
Usage
NormalizeCounts(counts, depthScale = 1000, batch = NULL)
Arguments
counts |
Input data matrix |
depthScale |
Rescale all columns to this value |
batch |
Factor the same length as ncol(counts) which contains batch effects to remove |
Value
Normalized data matrix with batch effects removed
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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