pathSampler: Calculates the distribution of pathway disturbance
In pouryany/pathwayDisturbance: Pathway enrichment analysis of genomic using Causal Disturbance Analysis
Description
Usage
Arguments
Value
Description
Calculates the distribution of pathway disturbance
Usage
1
pathSampler(inputGraph, deKID, iterationNo, alpha, beta, statEval = 1)
Arguments
inputGraph
A graphNEL object of a pathway
deKID
The name of the nodes in the subset of interest. e.g. DEG
alpha
the dampening factor for Source/Sink Centrality
beta
the relative Source vs Sink factor
statEval
Choose 1 for product-based, 0 for summation-based
interationNo
number of rounds of sampling
iter
the number of iterations for causal disturbance
Value
the probability of observing a subset with a higher aggeregate score
pouryany/pathwayDisturbance documentation built on Sept. 1, 2020, 12:13 a.m.
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Description Usage Arguments Value
Description
Calculates the distribution of pathway disturbance
Usage
1 | pathSampler(inputGraph, deKID, iterationNo, alpha, beta, statEval = 1)
|
Arguments
inputGraph |
A graphNEL object of a pathway |
deKID |
The name of the nodes in the subset of interest. e.g. DEG |
alpha |
the dampening factor for Source/Sink Centrality |
beta |
the relative Source vs Sink factor |
statEval |
Choose 1 for product-based, 0 for summation-based |
interationNo |
number of rounds of sampling |
iter |
the number of iterations for causal disturbance |
Value
the probability of observing a subset with a higher aggeregate score
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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