randomWalkByIterations: Smooth data on graph by computing iterations
In BIMSBbioinfo/netSmooth: Network smoothing for scRNAseq
Description
Usage
Arguments
Value
View source: R/randomWalkByIterations.R
Description
Smooth data on graph by computing iterations
Usage
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randomWalkByIterations(
f0,
adjMatrix,
alpha,
normalizeAjdMatrix = c("rows", "columns"),
tol = 1e-06,
max.iter = 100
)
Arguments
f0
initial data matrix [NxM]
adjMatrix
adjacency matrix of graph to network smooth on
will be column-normalized.
alpha
smoothing coefficient (1 - restart probability of
random walk)
tol
the tolerance (stopping criterion)
max.iter
the maximum number of iterations before terminating
Value
network-smoothed gene expression
BIMSBbioinfo/netSmooth documentation built on Dec. 24, 2019, 8:08 p.m.
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Description Usage Arguments Value
View source: R/randomWalkByIterations.R
Description
Smooth data on graph by computing iterations
Usage
1 2 3 4 5 6 7 8 | randomWalkByIterations(
f0,
adjMatrix,
alpha,
normalizeAjdMatrix = c("rows", "columns"),
tol = 1e-06,
max.iter = 100
)
|
Arguments
f0 |
initial data matrix [NxM] |
adjMatrix |
adjacency matrix of graph to network smooth on will be column-normalized. |
alpha |
smoothing coefficient (1 - restart probability of random walk) |
tol |
the tolerance (stopping criterion) |
max.iter |
the maximum number of iterations before terminating |
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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