generate_single: Generate_single

In Queen0044/scHiCBayes: Single cell HiC data imputation using Bayesian hierarchy model.

Description

This function simulates single cells from 3D structure.

Usage

generate_single(
  data = str1,
  alpha_0,
  alpha_1,
  beta_l,
  beta_g,
  beta_m,
  alpha,
  n_single
)

Arguments

data	3D coordinates of single cell.
alpha_0	parameter that controls sequence depth of data.
alpha_1	parameter that controls sequence depth of data.
beta_l	parameter that controls effect size of covariate.
beta_g	parameter that controls effect size of covariate.
beta_m	parameter that controls effect size of covariate.
alpha	Proportion of random true 0.
n_single	Number of single cells to be generated.

Value

A list of underline true count, SZ positions, and generated single cells.

Examples

#Load 3d structure generated from SIMBA package
load("simba_3strs.rdata")
Set random seed
set.seed(1234)
#Generate 100 random type1 single cells
simudat <- generate_single(data=str1, alpha_0=5.6,alpha_1=-1, beta_l=0.9,beta_g=0.9,beta_m=0.9, alpha=0.2, n_single=10) 

Queen0044/scHiCBayes documentation built on Dec. 18, 2021, 8:43 a.m.