initialize_ploidy: Ploidy pre-initialization

In rujinwang/SCOPE: A normalization and copy number estimation method for single-cell DNA sequencing

Ploidy pre-initialization

Description

Pre-estimate ploidies across all cells

Usage

initialize_ploidy(Y, Yhat, ref, maxPloidy = 6, minPloidy = 1.5,
                minBinWidth = 5, SoS.plot = FALSE)

Arguments

Y	raw read depth matrix after quality control procedure
Yhat	normalized read depth matrix
ref	GRanges object after quality control procedure
maxPloidy	maximum ploidy candidate. Defalut is 6
minPloidy	minimum ploidy candidate. Defalut is 1.5
minBinWidth	the minimum number of bins for a changed segment. Defalut is 5
SoS.plot	logical, whether to generate ploidy pre-estimation plots. Default is FALSE.

Value

ploidy.SoS

Vector of pre-estimated ploidies for each cell

Author(s)

Rujin Wang [e-mail]

Examples

Gini <- get_gini(Y_sim)

# first-pass CODEX2 run with no latent factors
normObj.sim <- normalize_codex2_ns_noK(Y_qc = Y_sim,
                                        gc_qc = ref_sim$gc,
                                        norm_index = which(Gini<=0.12))
Yhat.noK.sim <- normObj.sim$Yhat
beta.hat.noK.sim <- normObj.sim$beta.hat
fGC.hat.noK.sim <- normObj.sim$fGC.hat
N.sim <- normObj.sim$N

# Ploidy initialization
ploidy.sim <- initialize_ploidy(Y = Y_sim, 
                                Yhat = Yhat.noK.sim, 
                                ref = ref_sim)
ploidy.sim

rujinwang/SCOPE documentation built on Jan. 1, 2023, 5:40 a.m.