Man pages for MarianSchoen/DTD
Digital Tissue Deconvolution
| check_model | check_model |
| cxx_estimate_c | cxx_estimate_c |
| cxx_evaluate_model | cxx_evaluate_model |
| cxx_nnls | NNLS |
| descent_generalized_fista | Descent generalized FISTA (fast iterative shrinkage... |
| descent_generalized_fista_cxx | Descent generalized FISTA (fast iterative shrinkage... |
| DTD_cv_lambda_cxx | Cross-validation for digital tissue deconvolution |
| DTD_cv_lambda_R | Cross-validation for digital tissue deconvolution |
| DTD_cv_lambda_test_input_generic | input tests for cross validation |
| empty_model | empty_model |
| estimate_c | Estimating C |
| estimate_direct_c | Estimating C |
| estimate_nn_c | Estimating non negative C |
| evaluate_cor | Evaluate correlation |
| generate_random_data | Generating random data |
| ggplot_convergence | Plot loss curve |
| ggplot_cv | Visualizing cross validation output |
| ggplot_ghistogram | Histogram of the g/tweak vector |
| ggplot_gpath | Visualize the path of each g_i over all iterations |
| ggplot_heatmap | clustered heatmap of diag(g) * X |
| ggplot_true_vs_esti | Plot true vs estimated cell composition |
| gradient_cor_trace | Gradient of L(g) = sum cor(true_C, estimated_C(g) ) |
| identity | Identity |
| lambda_sequence | generates a sequence of lambdas |
| make_buckets | map every sample to a bucket |
| mix_samples | Mix samples for loss-function learning DTD |
| mix_samples_with_jitter | Mix samples with jitter |
| n1normed | Norm a vector such that ||x||_1 is equal to the length of x |
| n2normed | Norm a vector such that ||x||_2 = 1 is equal to the length of |
| nesterov_factor | Nesterov Factor 2/(k+1) |
| normalize_to_count | normalize_to_count |
| pick.mean.test.results.function | returns mean of the individual test results, setting... |
| positive_subspace_pmax | Wrapper for pmax |
| sample_random_X | Sample random X |
| select.fun | selects a specific sample from a list of entries |
| set_model_coeff_estimation | set_model_coeff_estimation |
| set_model_inversion_precision | set_model_inversion_precision |
| set_model_normfunction | set_model_normfunction |
| set_model_subspacefunction | set_model_subspacefunction |
| set_model_threshfunction | set_model_threshfunction |
| soft_thresholding | Soft thresholding |
| solve_fista_goertler | solve_fista_goertler |
| test_c_type | test_c_type (All test functions are used for safety checks in... |
| test_integer | test_integer (All test functions are used for safety checks... |
| test_logical | test_logical (All test functions are used for safety checks... |
| test_numeric | test_numeric (All test functions are used for safety checks... |
| test_string | test_string (All test functions are used for safety checks in... |
| test_tweak_vec | test_tweak_vec (All test functions are used for safety checks... |
| train_deconvolution_model | Train a DTD model based on correlation loss function |
