Single Cell Poisson Probability Paradigm

Documentation for package ‘scpoisson’ version 0.0.2

Help Pages

adj_CDF_logit	A novel data representation based on Poisson probability
adj_CDF_logit.matrix	A novel data representation based on Poisson probability
adj_CDF_logit.scppp	A novel data representation based on Poisson probability
cluster_size	Cluster size
clust_clean	Cluster label clean
diff_gene_list	Differential expression analysis
diff_gene_list.matrix	Differential expression analysis
diff_gene_list.scppp	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
HclustDepart.matrix	Cluster cells in a recursive way
HclustDepart.scppp	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
LouvainDepart.matrix	Louvain clustering using departure as data representation
LouvainDepart.scppp	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.
new_scppp	Generate New scppp object
para_est_new	Parameter estimates based on two-way approximation
print.scppp	Print scppp objects
qqplot_env_pois	Q-Q plot comparing samples with a theoretical Poisson distribution
qqplot_env_pois.scppp	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