total.library.size.normalization: normalize the gene expression based on the library size...
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 the gene expression based on the library size (summation) of the
first sample replicate
Usage
1
total.library.size.normalization(sample.data)
Arguments
sample.data
a data frame of gene expression (noen-zero) with columns
being the sample and rows being genes
Details
TBD
Value
dataframe
a data frame where column values were normalized by total
library size
Note
TBD
Author(s)
Shaojun Tang
References
http://software.steenlab.org/fCI/
See Also
TBD
Examples
1
2
sample.data=data.frame(matrix(sample(3:100, 100*4, replace=TRUE), 100,4))
total.library.size.normalization(sample.data)
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 the gene expression based on the library size (summation) of the first sample replicate
Usage
1 | total.library.size.normalization(sample.data)
|
Arguments
sample.data |
a data frame of gene expression (noen-zero) with columns being the sample and rows being genes |
Details
TBD
Value
dataframe |
a data frame where column values were normalized by total library size |
Note
TBD
Author(s)
Shaojun Tang
References
http://software.steenlab.org/fCI/
See Also
TBD
Examples
1 2 | sample.data=data.frame(matrix(sample(3:100, 100*4, replace=TRUE), 100,4))
total.library.size.normalization(sample.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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