randomWalkBySolve-matrix-method: Smooth data on graph by solving the linear equation (I -...
In netSmooth: Network smoothing for scRNAseq
Description
Usage
Arguments
Value
Description
Smooth data on graph by solving the linear equation
(I - alpha*A) * E_sm = E * (1-alpha)
Usage
1
2
## S4 method for signature 'matrix'
randomWalkBySolve(E, A, alpha, normalizeAjdMatrix = c("rows", "columns"))
Arguments
E
initial data matrix [NxM]
A
adjacency matrix of graph to network smooth on
will be column-normalized.
alpha
smoothing coefficient (1 - restart probability of
random walk)
Value
network-smoothed gene expression
netSmooth documentation built on Nov. 8, 2020, 5:33 p.m.
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Description Usage Arguments Value
Description
Smooth data on graph by solving the linear equation (I - alpha*A) * E_sm = E * (1-alpha)
Usage
1 2 | ## S4 method for signature 'matrix'
randomWalkBySolve(E, A, alpha, normalizeAjdMatrix = c("rows", "columns"))
|
Arguments
E |
initial data matrix [NxM] |
A |
adjacency matrix of graph to network smooth on will be column-normalized. |
alpha |
smoothing coefficient (1 - restart probability of random walk) |
Value
network-smoothed gene expression
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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