MIcondition: Modules detection by each condition
In fairmiracle/MODA: MODA: MOdule Differential Analysis for weighted gene co-expression network
Description
Usage
Arguments
Value
Author(s)
Description
Module detection on each condition-specific network, which is constructed from
all samples but samples belonging to that condition
Usage
1
2
MIcondition(datExpr, conditionNames, ResultFolder, GeneNames, maxsize = 100,
minsize = 30)
Arguments
datExpr
gene expression profile, rows are samples and columns genes,
rowname should contain condition specifier
conditionNames
character vector, each as the condition name
ResultFolder
where to store the clusters
GeneNames
normally the gene official names to replace the colnames of datExpr
maxsize
the maximal nodes allowed in one module
minsize
the minimal nodes allowed in one module
Value
a numeric vector, each entry is the number of modules in condition-specific network
Author(s)
Dong Li, dxl466@cs.bham.ac.uk
fairmiracle/MODA documentation built on May 16, 2019, 9:59 a.m.
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Description Usage Arguments Value Author(s)
Description
Module detection on each condition-specific network, which is constructed from all samples but samples belonging to that condition
Usage
1 2 | MIcondition(datExpr, conditionNames, ResultFolder, GeneNames, maxsize = 100,
minsize = 30)
|
Arguments
datExpr |
gene expression profile, rows are samples and columns genes, rowname should contain condition specifier |
conditionNames |
character vector, each as the condition name |
ResultFolder |
where to store the clusters |
GeneNames |
normally the gene official names to replace the colnames of datExpr |
maxsize |
the maximal nodes allowed in one module |
minsize |
the minimal nodes allowed in one module |
Value
a numeric vector, each entry is the number of modules in condition-specific network
Author(s)
Dong Li, dxl466@cs.bham.ac.uk
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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