Loss_Fro: Get the error of Semi-NMF using frobenius norm
In DASC: Detecting hidden batch factors through data adaptive adjustment for biological effects
Description
Usage
Arguments
Details
Value
Author(s)
Description
Get the error of Semi-NMF using frobenius norm
Usage
1
Loss_Fro(model, target)
Arguments
model
Object of class: NMFfit
target
gene expression matrix
Details
This is a customerized function defined in terms of nmf.
For more information, please go through the NMF vignette
https://cran.r-project.org/web/packages/NMF/vignettes/NMF-vignette.pdf
Value
The result of semi-NMF for the current iteration
Author(s)
Haidong Yi, Ayush T. Raman
DASC documentation built on Nov. 17, 2017, 9:36 a.m.
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Description Usage Arguments Details Value Author(s)
Description
Get the error of Semi-NMF using frobenius norm
Usage
1 | Loss_Fro(model, target)
|
Arguments
model |
Object of class: NMFfit |
target |
gene expression matrix |
Details
This is a customerized function defined in terms of nmf.
For more information, please go through the NMF vignette
https://cran.r-project.org/web/packages/NMF/vignettes/NMF-vignette.pdf
Value
The result of semi-NMF for the current iteration
Author(s)
Haidong Yi, Ayush T. Raman
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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