| faahko_poplin | FAAH knockout LC/MS data poplin |
| impute_knn | K-nearest neighbor (KNN) imputation |
| impute_pca | Principal component analysis (PCA) imputation |
| impute_randomforest | Random forest imputation |
| impute_univariate | Univariate imputation |
| normalize_cyclicloess | Cyclic LOESS normalization |
| normalize_mad | Median absolute deviation (MAD) normalization |
| normalize_mean | Mean normalization |
| normalize_median | Median normalization |
| normalize_pqn | Probabilistic quotient normalization (PQN) |
| normalize_scale | Feature-based scaling |
| normalize_sum | Sum normalization |
| normalize_vsn | Variance stabilizing normalization (VSN) |
| poplin_biplot | Biplot of dimension-reduced data |
| poplin_boxplot | Box plot |
| poplin-class | The poplin class |
| poplin-combine-slash-subset | Combining or subsetting poplin objects |
| poplin_corplot | Correlation plot |
| poplin_data | Poplin data methods |
| poplin_impute | Imputation methods |
| poplin-internals | Internal poplin fields |
| poplin.matrix | The poplin.matrix class |
| poplin_naplot | Missing value plot |
| poplin_normalize | Normalization methods |
| poplin_raw | Raw data methods |
| poplin_reduce | Dimension reduction methods |
| poplin_reduced | Dimension-reduced data methods |
| poplin_scoreplot | Score plot of dimension-reduced data |
| reduce_pca | Principal component analysis (PCA) |
| reduce_plsda | Partial least squares-discriminant analysis (PLS-DA) |
| reduce_tsne | t-distributed stochastic neighbor embedding (t-SNE) |
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