cross_validation: Cross Validation of DeepCC Model
In CityUHK-CompBio/DeepCC: DeepCC: a deep learning-based framework for cancer classification
Description
Usage
Arguments
Value
Examples
Description
This function performs cross validation of DeepCC Mode on the training data.
Usage
1
cross_validation(fs, labels, fold = 5)
Arguments
fs
a data.frame containing functional spectra of patients (each row presents one sample)
labels
a character vector containing training lables
fold
a integer indicating the fold number of cross validation (default: 5)
Value
a numeric indicating error rate in a single run
Examples
1
cross_validation(tcga_fs, tcga_labels)
CityUHK-CompBio/DeepCC documentation built on Dec. 24, 2021, 7:48 a.m.
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Description Usage Arguments Value Examples
Description
This function performs cross validation of DeepCC Mode on the training data.
Usage
1 | cross_validation(fs, labels, fold = 5)
|
Arguments
fs |
a data.frame containing functional spectra of patients (each row presents one sample) |
labels |
a character vector containing training lables |
fold |
a integer indicating the fold number of cross validation (default: 5) |
Value
a numeric indicating error rate in a single run
Examples
1 | cross_validation(tcga_fs, tcga_labels)
|
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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