Single Cell Poisson Probability Paradigm


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Documentation for package ‘scpoisson’ version 0.0.1

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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