API for inferCSN
Inferring Cell-Specific Gene Regulatory Network
| Global functions | |
|---|---|
| %ss% | Man page |
| .build_knn | Source code |
| .build_knnd | Source code |
| .build_nn2 | Source code |
| .check_parameters | Source code |
| .cores_detect | Source code |
| .is_scalar | Source code |
| .meta_cell_ge | Source code |
| .plot_auprc | Source code |
| .plot_auroc | Source code |
| .pseudobulk | Source code |
| .rmse | Source code |
| .rse | Source code |
| .sse | Source code |
| R_matrix_center_dense | Source code |
| R_matrix_center_sparse | Source code |
| R_matrix_column_dot_dense | Source code |
| R_matrix_column_dot_sparse | Source code |
| R_matrix_column_get_dense | Source code |
| R_matrix_column_get_sparse | Source code |
| R_matrix_column_mult_dense | Source code |
| R_matrix_column_mult_sparse | Source code |
| R_matrix_column_sums_dense | Source code |
| R_matrix_column_sums_sparse | Source code |
| R_matrix_normalize_dense | Source code |
| R_matrix_normalize_sparse | Source code |
| R_matrix_rows_get_dense | Source code |
| R_matrix_rows_get_sparse | Source code |
| R_matrix_vector_divide_dense | Source code |
| R_matrix_vector_divide_sparse | Source code |
| R_matrix_vector_schur_product_dense | Source code |
| R_matrix_vector_schur_product_sparse | Source code |
| `%ss%` | Source code |
| asMatrix | Source code |
| asMatrixParallel | Source code |
| as_matrix | Man page Source code |
| calculate_accuracy | Man page Source code |
| calculate_auc | Man page Source code |
| calculate_auprc | Man page Source code |
| calculate_auroc | Man page Source code |
| calculate_f1 | Man page Source code |
| calculate_gene_rank | Man page Source code |
| calculate_ji | Man page Source code |
| calculate_metrics | Man page Source code |
| calculate_precision | Man page Source code |
| calculate_recall | Man page Source code |
| calculate_si | Man page Source code |
| check_sparsity | Man page Source code |
| coef.srm | Man page Source code |
| coef.srm_cv | Man page Source code |
| example_ground_truth | Man page |
| example_matrix | Man page |
| example_meta_data | Man page |
| filter_sort_matrix | Man page Source code |
| fit_srm | Man page Source code |
| inferCSN | Man page |
| inferCSN,data.frame-method | Man page |
| inferCSN,matrix-method | Man page |
| inferCSN,sparseMatrix-method | Man page |
| inferCSN-package | Man page |
| log_message | Man page Source code |
| matrix_to_table | Man page Source code |
| meta_cells | Man page Source code |
| network_format | Man page Source code |
| network_sift | Man page Source code |
| normalization | Man page Source code |
| parallelize_fun | Man page Source code |
| pearson_correlation | Man page Source code |
| plot_all_metrics | Man page Source code |
| plot_coefficient | Man page Source code |
| plot_coefficients | Man page Source code |
| plot_contrast_networks | Man page Source code |
| plot_dynamic_networks | Man page Source code |
| plot_edges_comparison | Man page Source code |
| plot_embedding | Man page Source code |
| plot_histogram | Man page Source code |
| plot_network_heatmap | Man page Source code |
| plot_scatter | Man page Source code |
| plot_static_networks | Man page Source code |
| predict.srm | Man page Source code |
| predict.srm_cv | Man page Source code |
| prepare_binary_predictions | Man page Source code |
| prepare_calculate_metrics | Source code |
| print.srm | Man page Source code |
| print.srm_cv | Man page Source code |
| r_square | Man page Source code |
| simulate_sparse_matrix | Man page Source code |
| single_network | Man page Source code |
| sparse_cor | Man page Source code |
| sparse_cov_cor | Man page Source code |
| sparse_regression | Man page Source code |
| split_indices | Man page Source code |
| srm_model_cv_dense | Source code |
| srm_model_cv_sparse | Source code |
| srm_model_dense | Source code |
| srm_model_sparse | Source code |
| subsampling | Man page Source code |
| table_to_matrix | Man page Source code |
| weight_sift | Man page Source code |
