deseq.median.ratio.normalization: data matrix normalization method
In fCI: f-divergence Cutoff Index for Differential Expression Analysis in Transcriptomics and Proteomics
Description
Usage
Arguments
Details
Value
Note
Author(s)
References
See Also
Examples
Description
normalize expression matrix by first replicate's median gene expression values
Usage
1
deseq.median.ratio.normalization(npci.data)
Arguments
npci.data
a data frame containing non-zero numeric values (the data
frame must contain more than one row and one column)
Details
TBD
Value
data.frame
a new dataframe with each column having the same median
value
Note
TBD
Author(s)
Shaojun Tang
References
http://software.steenlab.org/fCI/
See Also
TBD
Examples
1
2
udata=data.frame(matrix(sample(3:100, 6*4), 6,4))
normalized.udata=deseq.median.ratio.normalization(udata)
fCI documentation built on Nov. 8, 2020, 6:53 p.m.
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Description Usage Arguments Details Value Note Author(s) References See Also Examples
Description
normalize expression matrix by first replicate's median gene expression values
Usage
1 | deseq.median.ratio.normalization(npci.data)
|
Arguments
npci.data |
a data frame containing non-zero numeric values (the data frame must contain more than one row and one column) |
Details
TBD
Value
data.frame |
a new dataframe with each column having the same median value |
Note
TBD
Author(s)
Shaojun Tang
References
http://software.steenlab.org/fCI/
See Also
TBD
Examples
1 2 | udata=data.frame(matrix(sample(3:100, 6*4), 6,4))
normalized.udata=deseq.median.ratio.normalization(udata)
|
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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