sim_Scores: Simulated Input Scores
In montilab/CaDrA: Candidate Driver Analysis
sim_Scores R Documentation
Simulated Input Scores
Description
A simulated vector of continuous scores generated from
rnorm(n=ncol(sim_FS), mean=0, sd=1) with set.seed(123)
based on the number of samples in the
simulated dataset (sim_FS)
Usage
data(sim_Scores)
Format
A vector of continuous scores randomly generated
from rnorm(n=ncol(sim_FS), mean=0, sd=1) with set.seed(123)
based on the number of samples in the
simulated dataset (sim_FS)
Value
a vector of continuous scores
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)
montilab/CaDrA documentation built on Aug. 22, 2024, 11:55 p.m.
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| sim_Scores | R Documentation |
Simulated Input Scores
Description
A simulated vector of continuous scores generated from
rnorm(n=ncol(sim_FS), mean=0, sd=1) with set.seed(123)
based on the number of samples in the
simulated dataset (sim_FS)
Usage
data(sim_Scores)
Format
A vector of continuous scores randomly generated
from rnorm(n=ncol(sim_FS), mean=0, sd=1) with set.seed(123)
based on the number of samples in the
simulated dataset (sim_FS)
Value
a vector of continuous scores
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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