NetworkAnalysedPerturbationData-class: Data wrapper for analysed perturbation data using network...
In cbg-ethz/knockdown: Statistical Analysis of High-Throughput Genetic Perturbation Screens
Description
Class NetworkAnalysedPerturbationData is a wrapper for
various objects of an analysis of a perturbation experiment done
using network diffusion. Class NetworkAnalysedPerturbationData
exposes getters for its members of the same name,
but no setters, because the data should be treated as
constant once set. Objects of class NetworkAnalysedPerturbationData
do not need to be
constructed manually but are returned from calling diffuse
(see the examples).
Slots
initialModelthe model that was provided for analysis
graphan igraph object that served for the diffusion process
Examples
1
2
3
4
5
6
data(rnaiscreen)
hm.fit <- hm(rnaiscreen)
graph <- readRDS(system.file(
"extdata", "graph_small.rds", package = "perturbatr"))
res <- diffuse(hm.fit, graph=graph, r=1)
cbg-ethz/knockdown documentation built on Feb. 11, 2020, 6:25 p.m.
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Description
Class NetworkAnalysedPerturbationData is a wrapper for
various objects of an analysis of a perturbation experiment done
using network diffusion. Class NetworkAnalysedPerturbationData
exposes getters for its members of the same name,
but no setters, because the data should be treated as
constant once set. Objects of class NetworkAnalysedPerturbationData
do not need to be
constructed manually but are returned from calling diffuse
(see the examples).
Slots
initialModelthe model that was provided for analysis
graphan igraph object that served for the diffusion process
Examples
1 2 3 4 5 6 | data(rnaiscreen)
hm.fit <- hm(rnaiscreen)
graph <- readRDS(system.file(
"extdata", "graph_small.rds", package = "perturbatr"))
res <- diffuse(hm.fit, graph=graph, r=1)
|
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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