check.parameters | R Documentation |
Check input parameters
check.parameters(
matrix,
penalty,
algorithm,
crossValidation,
seed,
nFolds,
kFolds,
rThreshold,
regulators,
targets,
maxSuppSize,
verbose,
cores
)
matrix |
An expression matrix, cells by genes |
penalty |
The type of regularization. This can take either one of the following choices: "L0" and "L0L2". For high-dimensional and sparse data, such as single-cell sequencing data, "L0L2" is more effective. |
algorithm |
The type of algorithm used to minimize the objective function. Currently "CD" and "CDPSI" are supported. The CDPSI algorithm may yield better results, but it also increases running time. |
crossValidation |
Check whether cross validation is used. |
seed |
The seed used in randomly shuffling the data for cross-validation. |
nFolds |
The number of folds for cross-validation. |
kFolds |
The number of folds for sample split. |
rThreshold |
rThreshold. |
regulators |
Regulator genes. |
targets |
Target genes. |
maxSuppSize |
The number of non-zore coef, this value will affect the final performance. The maximum support size at which to terminate the regularization path. Recommend setting this to a small fraction of min(n,p) (e.g. 0.05 * min(n,p)) as L0 regularization typically selects a small portion of non-zeros. |
verbose |
Print detailed information. |
cores |
CPU cores. |
No return value, called for check input parameters
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