SimulatedMixtures: SimulatedMixtures
In elmerfer/MIXTURE: MIXTURE: a nu-SVR based recursive feature extraction mdoel with noise constraints for molecular signature deconvolution of bulk tumor tissues
SimulatedMixtures R Documentation
SimulatedMixtures
Description
the Beta coefficnets are drown from a uniform distribution between 0.2 to 1
Usage
SimulatedMixtures(signatureMatrix, maxCoefs, maxSamples, noisy = TRUE)
Arguments
signatureMatrix
the NxK molecular signature matrix
maxCoefs
(integer) the maximum number of simulated coefficients > 0
maxSamples
(integer) the maximum number of simulated samples
noisy
(logical) if TRUE, noisy samples will be provided
Details
It returns the simulated MIxtures from the given molecular signature matrix
Value
a list with a simulated bulk tissues gene expression matrix nrow(signatureMatrix) by maxCoefs columns and their corresponding Beta coefficient matrix.
elmerfer/MIXTURE documentation built on Aug. 20, 2024, 8:03 p.m.
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| SimulatedMixtures | R Documentation |
SimulatedMixtures
Description
the Beta coefficnets are drown from a uniform distribution between 0.2 to 1
Usage
SimulatedMixtures(signatureMatrix, maxCoefs, maxSamples, noisy = TRUE)
Arguments
signatureMatrix |
the NxK molecular signature matrix |
maxCoefs |
(integer) the maximum number of simulated coefficients > 0 |
maxSamples |
(integer) the maximum number of simulated samples |
noisy |
(logical) if TRUE, noisy samples will be provided |
Details
It returns the simulated MIxtures from the given molecular signature matrix
Value
a list with a simulated bulk tissues gene expression matrix nrow(signatureMatrix) by maxCoefs columns and their corresponding Beta coefficient matrix.
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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