| adj_CDF_logit | A novel data representation based on Poisson probability |
| cluster_size | Cluster size |
| clust_clean | Cluster label clean |
| diff_gene_list | Differential expression analysis |
| fwer_cutoff-shc | get FWER cutoffs for shc object |
| fwer_cutoff.shc | get FWER cutoffs for shc object |
| get_example_data | get example data |
| HclustDepart | Cluster cells in a recursive way |
| interpolate | Linear interpolation for one sample given reference sample |
| logit | Logit transformation |
| LouvainDepart | Louvain clustering using departure as data representation |
| nboot_small | Random sample generation function to generate sets of samples from theoretical Poisson distribution. |
| new_quantile | A more "continuous" approximation of quantiles of samples with a few integer case |
| new_quantile_pois | A more "continuous" approximation of quantiles from the theoretical Poisson distribution. |
| para_est_new | Parameter estimates based on two-way approximation |
| qqplot_env_pois | Q-Q plot comparing samples with a theoretical Poisson distribution |
| qqplot_small_test | Q-Q plot comparing two samples with small discrete counts |
| qq_interpolation | Paired quantile after interpolation between two samples |
| scppp | Generate New scppp object |
| sigp | Significance for first split using sigclust2 |
| theme_dirk | Dirk theme ggplots |