Loss_Fro: Get the error of Semi-NMF using frobenius norm
In zhanglabNKU/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
zhanglabNKU/DASC documentation built on May 27, 2019, 1:46 p.m.
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.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.