computeFactorLengths: Compute Length Normalization Factors
In csoneson/compcodeR: RNAseq data simulation, differential expression analysis and performance comparison of differential expression methods
View source: R/generateSyntheticData.R
computeFactorLengths R Documentation
Compute Length Normalization Factors
Description
Compute the factor to be applied for length normalization.
Each column of the matrix (samples) is normalized by the weighted average of
the column, with weights corresponding to the true probabilities of each gene.
Usage
computeFactorLengths(length_matrix, prob.S1, sum.S1)
Arguments
length_matrix
An n.vars times n.sample matrix of lengths of each gene in each sample.
prob.S1
Vector of means for condition 1.
sum.S1
Sum of means for condition 1.
Value
A matrix of the same size as 'length_matrix', with normalization factors
to be applied for each sample and each gene.
csoneson/compcodeR documentation built on Nov. 3, 2024, 6:05 a.m.
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View source: R/generateSyntheticData.R
| computeFactorLengths | R Documentation |
Compute Length Normalization Factors
Description
Compute the factor to be applied for length normalization. Each column of the matrix (samples) is normalized by the weighted average of the column, with weights corresponding to the true probabilities of each gene.
Usage
computeFactorLengths(length_matrix, prob.S1, sum.S1)
Arguments
length_matrix |
An n.vars times n.sample matrix of lengths of each gene in each sample. |
prob.S1 |
Vector of means for condition 1. |
sum.S1 |
Sum of means for condition 1. |
Value
A matrix of the same size as 'length_matrix', with normalization factors to be applied for each sample and each gene.
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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