Man pages for MoseleyBioinformaticsLab/visualizationQualityControl
Development of visualization methods for quality control
| calc_sd_rsd | calculate values from summaries |
| calc_sd_rsd_nls | calculate values from summaries v2 |
| calculate_fratio | calculate F-ratio |
| count_matching_features | matching features |
| determine_outliers | determine outliers |
| filter_non_zero_percentage | keep features with percentage of non-zeros |
| generate_group_colors | create set of disjoint colors |
| grp_cor | 10 sample to sample correlations |
| grp_cor_data | grp_cor_data |
| grp_exp_data | grp_exp_data |
| grp_info | 10 sample meta-data |
| keep_non_missing_percentage | keep features with percentage of non-missing |
| keep_non_zero_percentage | keep features with percentage of non-zeros |
| median_class_correlations | calculate median class correlations |
| median_correlations | calculate median correlations |
| outlier_fraction | fraction of outliers |
| pipe | Pipe operator |
| similarity_reorder | cluster and reorder |
| similarity_reorderbyclass | reorder by sample class |
| split_groups | split groups |
| summarize_data | summarize data |
| visqc_cor_pca_scores | correlate scores and outcome |
| visqc_heatmap | easier heatmaps |
| visqc_score_contributions | calculate pca contributions |
| visqc_test_pca_loadings | test loadings |
| visqc_test_pca_scores | test scores and outcome |
