Man pages for scpoisson
Single Cell Poisson Probability Paradigm

adj_CDF_logitA novel data representation based on Poisson probability
clust_cleanCluster label clean
cluster_sizeCluster size
diff_gene_listDifferential expression analysis
fwer_cutoff-genericreturn Family-Wise Error Rate (FWER) cutoffs
fwer_cutoff-matrixget FWER from idx_hc attribute of shc object
fwer_cutoff-shcget FWER cutoffs for shc object
get_example_dataget example data
HclustDepartCluster cells in a recursive way
interpolateLinear interpolation for one sample given reference sample
logitLogit transformation
LouvainDepartLouvain clustering using departure as data representation
nboot_smallRandom sample generation function to generate sets of samples...
new_quantileA more "continuous" approximation of quantiles of samples...
new_quantile_poisA more "continuous" approximation of quantiles from the...
para_est_newParameter estimates based on two-way approximation
qq_interpolationPaired quantile after interpolation between two samples
qqplot_env_poisQ-Q plot comparing samples with a theoretical Poisson...
qqplot_small_testQ-Q plot comparing two samples with small discrete counts
scpoisson-packagescpoisson: Single Cell Poisson Probability Paradigm
scpppGenerate New scppp object
sigpSignificance for first split using sigclust2
theme_dirkDirk theme ggplots
scpoisson documentation built on Aug. 17, 2022, 9:05 a.m.