fuzzy.mods: Classify fuzzy modules with quadratic disciminant analysis
In montilab/shine: Structure Learning for Hierarchical Networks
Description
Usage
Arguments
Value
Description
Classify fuzzy modules with quadratic disciminant analysis
Usage
1
fuzzy.mods(dat, mods, cores = 1, p = 0.5, fn = bicor)
Arguments
dat
Expression data
mods
A list of modules
cores
The number of cores for parallel execution
p
Posterior probability threshold
fn
A correlation function
Value
A list of fuzzy modules
montilab/shine documentation built on May 20, 2021, 4:22 p.m.
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Description Usage Arguments Value
Description
Classify fuzzy modules with quadratic disciminant analysis
Usage
1 | fuzzy.mods(dat, mods, cores = 1, p = 0.5, fn = bicor)
|
Arguments
dat |
Expression data |
mods |
A list of modules |
cores |
The number of cores for parallel execution |
p |
Posterior probability threshold |
fn |
A correlation function |
Value
A list of fuzzy modules
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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