update_G: Update G in Semi-NMF
In aayushraman/DASC: Detecting hidden batch factors through data adaptive adjustment for biological effects
update_G R Documentation
Update G in Semi-NMF
Description
Update G in Semi-NMF
Usage
update_G(X, mf, mg)
Arguments
X
Data expression matrix need to be factorized
mf
The basis matrix
mg
The co-efficient matrix
Details
By definition, G is a graph adjacency matrix. The update_G updates G
after every iteration.
Value
G The basis matrix
Author(s)
Haidong Yi, Ayush T. Raman
Examples
X <- matrix(1:12,nrow=4)
mf <- matrix(1:8,nrow=4)
mg <- matrix(1:6,ncol=2)
mg <- update_G(X,mf,mg)
aayushraman/DASC documentation built on May 9, 2023, 12:03 a.m.
R Package Documentation
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| update_G | R Documentation |
Update G in Semi-NMF
Description
Update G in Semi-NMF
Usage
update_G(X, mf, mg)
Arguments
X |
Data expression matrix need to be factorized |
mf |
The basis matrix |
mg |
The co-efficient matrix |
Details
By definition, G is a graph adjacency matrix. The update_G updates G
after every iteration.
Value
G The basis matrix
Author(s)
Haidong Yi, Ayush T. Raman
Examples
X <- matrix(1:12,nrow=4)
mf <- matrix(1:8,nrow=4)
mg <- matrix(1:6,ncol=2)
mg <- update_G(X,mf,mg)
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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