A Method to Identify Single CpG Sites for Classification and Deconvolution


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Documentation for package ‘CimpleG’ version 1.0.1

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CimpleG Find simple CpG (CimpleG) signatures.
cimpleg Find simple CpG (CimpleG) signatures.
compute_ax Feature selection function used in the sigma delta space
compute_diffmeans_sumvar Compute diff mean sum var dataframe
cpg Find simple CpG (CimpleG) signatures.
darken Helper function to darken down a given color.
deconvolution_barplot Stacked barplot of deconvolution results
deconvolution_epidish EpiDISH deconvolution
deconvolution_nmf NMF deconvolution
deconvolution_nnls NNLS deconvolution
deconv_pred_obs_plot Scatter plots of observed (true) vs predicted values for deconvolution.
deconv_ranking_plot Boxplot and rankings of deconvolution metrics for deconvolution results.
diffmeans_sumvariance_plot Creates the old version of the difference in means by sum of variances plot
dmsv_plot Creates the old version of the difference in means by sum of variances plot
eval_test_data Evaluation of produced models on test data
get_cpg_annotation Get CpG annotation from Illumina
lighten Helper function to lighten up a given color.
load_object Load an R object saved with CimpleG or an RDS file.
make_color_palette Make color palette data frame
make_deconv_pred_obs_data Make tidy data for use in deconvolution plots
make_deconv_ref_matrix Build deconvolution reference matrix
predict.CimpleG Predict outcome from a CimpleG signatures on new data
run_deconvolution Perform deconvolution on a new set of samples, based on the CimpleG models trained
save_object Save an R object to disk with fast and efficient compression algorithms.
select_features Feature selection function used in the diffmeans, sumvariance space
signature_plot CpG signature plot
test_data Cell line test data
test_targets Cell line test data targets
train_data Cell line train data
train_targets Cell line train data targets