outdegreeNormalizedFCScoreFunction: Outdegree normalized fold change based scoring
In bhatturam/prius: Affected pathway ranking in differential gene expression analysis
Description
Usage
Arguments
Value
Description
Uses the fold change values and the outdegree of the nodes to define a score
function for use with computePersonalizationVectors
Usage
1
outdegreeNormalizedFCScoreFunction(experimentalData, PPIGraph, extraArgs)
Arguments
experimentalData
A data frame with as many rows as HGNC Gene Symbols,
with the columns defined by the output of testFunction. The output of
runTestOnData.
PPIGraph
A list containing igraph_object - the igraph object and
vertex_map - a frame containing node attributes currently indegree and
outdegree. The output of createIGraphObject
extraArgs
NA
Value
A data frame with two columns npv - normal personalization vector
and dpv - disease personalization vector. There are as many rows as number
of HGNC Symbols in PPIGraph
bhatturam/prius documentation built on May 12, 2019, 8:24 p.m.
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Description Usage Arguments Value
Description
Uses the fold change values and the outdegree of the nodes to define a score
function for use with computePersonalizationVectors
Usage
1 | outdegreeNormalizedFCScoreFunction(experimentalData, PPIGraph, extraArgs)
|
Arguments
experimentalData |
A data frame with as many rows as HGNC Gene Symbols,
with the columns defined by the output of testFunction. The output of
|
PPIGraph |
A list containing igraph_object - the igraph object and
vertex_map - a frame containing node attributes currently indegree and
outdegree. The output of |
extraArgs |
NA |
Value
A data frame with two columns npv - normal personalization vector and dpv - disease personalization vector. There are as many rows as number of HGNC Symbols in PPIGraph
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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