process_matrix: process_matrix
In slfm: Fitting a Bayesian Sparse Latent Factor Model in Gene Expression Analysis
Description
Usage
Arguments
See Also
View source: R/process_matrix.r
Description
Function to apply a procedure to pre-process the gene expression data saved in matrices. This pre-processing step
is required to allow a fair analysis of the results obtained from the SLFM model.
Usage
1
process_matrix(path, output_path, sample_size)
Arguments
path
path to the directory containing the set of matrices to be pre-processed.
output_path
path to the directory intended to acommodate the saved pre-processed matrices.
sample_size
number of matrices to be used on the principal component analysis.
See Also
slfm documentation built on March 26, 2020, 7:37 p.m.
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Description Usage Arguments See Also
View source: R/process_matrix.r
Description
Function to apply a procedure to pre-process the gene expression data saved in matrices. This pre-processing step is required to allow a fair analysis of the results obtained from the SLFM model.
Usage
1 | process_matrix(path, output_path, sample_size)
|
Arguments
path |
path to the directory containing the set of matrices to be pre-processed. |
output_path |
path to the directory intended to acommodate the saved pre-processed matrices. |
sample_size |
number of matrices to be used on the principal component analysis. |
See Also
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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