ezVsnNorm: Variance Stabilizing Normalization
In uzh/ezRun: An R meta-package for the analysis of Next Generation Sequencing Data
ezVsnNorm R Documentation
Variance Stabilizing Normalization
Description
Normalizes the matrix with the Variance Stabilizing Normalization and keeps row and column names.
Usage
ezVsnNorm(x, lts.quantile = 0.6)
Arguments
x
the matrix to normalize.
lts.quantile
a numeric passed to justvsn().
Value
Returns the normalized matrix.
Author(s)
Rehrauer, Hubert
Schmid, Peter
See Also
justvsn
Examples
m1 = matrix(1:200,50)
m2 = ezVsnNorm(m1)
uzh/ezRun documentation built on April 14, 2024, 5:09 a.m.
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| ezVsnNorm | R Documentation |
Variance Stabilizing Normalization
Description
Normalizes the matrix with the Variance Stabilizing Normalization and keeps row and column names.
Usage
ezVsnNorm(x, lts.quantile = 0.6)
Arguments
x |
the matrix to normalize. |
lts.quantile |
a numeric passed to |
Value
Returns the normalized matrix.
Author(s)
Rehrauer, Hubert
Schmid, Peter
See Also
justvsn
Examples
m1 = matrix(1:200,50)
m2 = ezVsnNorm(m1)
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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