sim_FS: Simulated Genomic Data
In RC-88/CaDrA: Candidate Driver Analysis
sim_FS R Documentation
Simulated Genomic Data
Description
A simulated SummarizedExperiment object that comprises of 1000 genomic
features (rows) and 100 sample profiles (columns).
Each row is represented by a vector of binary values (1/0)
indicating the presence/absence of the feature in the samples.
This simulated data includes 10 left-skewed (i.e. True Positive or TP)
and 990 uniformly-distributed (i.e. True Null or TN) features.
Usage
data(sim_FS)
Format
An object of class SummarizedExperiment from
SummarizedExperiment package containing an assay of 1000 rows (features)
and 100 columns (samples). Each row is represented by a vector of binary values (1/0)
indicating the presence/absence of the feature in the samples.
See ?SummarizedExperiment for more details.
References
Kartha VK, Kern JG, Sebastiani P, Zhang L,
Varelas X, Monti S (2019) CaDrA: A computational framework for performing
candidate driver analyses using binary genomic features.
(Frontiers in Genetics)
RC-88/CaDrA documentation built on March 28, 2023, 12:18 a.m.
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| sim_FS | R Documentation |
Simulated Genomic Data
Description
A simulated SummarizedExperiment object that comprises of 1000 genomic features (rows) and 100 sample profiles (columns). Each row is represented by a vector of binary values (1/0) indicating the presence/absence of the feature in the samples. This simulated data includes 10 left-skewed (i.e. True Positive or TP) and 990 uniformly-distributed (i.e. True Null or TN) features.
Usage
data(sim_FS)
Format
An object of class SummarizedExperiment from
SummarizedExperiment package containing an assay of 1000 rows (features)
and 100 columns (samples). Each row is represented by a vector of binary values (1/0)
indicating the presence/absence of the feature in the samples.
See ?SummarizedExperiment for more details.
References
Kartha VK, Kern JG, Sebastiani P, Zhang L, Varelas X, Monti S (2019) CaDrA: A computational framework for performing candidate driver analyses using binary genomic features. (Frontiers in Genetics)
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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