weighted2rankList: Correlation matrix to list of maximum
In mzinkgraf/fastOC: Co-expression network analysis across multiple species
Description
Usage
Arguments
Author(s)
See Also
Description
For each row in a matrix determine index values of the top (default=5) most correlated genes. An internal function used by getEdgelist()
Usage
1
weighted2rankList(m, top=5, parallel_apply=FALSE, nThreads=2)
Arguments
m
A maxtrix of correlation values
top
An integer specifying the number values to return. Default = 5
nThreads
Integer specifying number of cores to be used by parRapply. Default = 2
parallel_apply
Logical value indicating if parRapply from parallel should be used in calulation Default = FALSE
Author(s)
Matthew Zinkgraf, Matthew.Zinkgraf@wwu.edu
See Also
mzinkgraf/fastOC documentation built on May 13, 2019, 3:01 a.m.
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Description Usage Arguments Author(s) See Also
Description
For each row in a matrix determine index values of the top (default=5) most correlated genes. An internal function used by getEdgelist()
Usage
1 | weighted2rankList(m, top=5, parallel_apply=FALSE, nThreads=2)
|
Arguments
m |
A maxtrix of correlation values |
top |
An integer specifying the number values to return. Default = 5 |
nThreads |
Integer specifying number of cores to be used by parRapply. Default = 2 |
parallel_apply |
Logical value indicating if parRapply from parallel should be used in calulation Default = FALSE |
Author(s)
Matthew Zinkgraf, Matthew.Zinkgraf@wwu.edu
See Also
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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