simData_3data: simData_3data

In cuhklinlab/scAMACE: scAMACE (integrative Analysis of single-cell Methylation, chromatin ACcessibility, and gene Expression)

Description

Generate simulation data $\boldsymbol x$, $\boldsymbol y$ and $\boldsymbol z$.

Usage

simData_3data(n1, n2, n3, p, Xprobs1, Xprobs2, Xprobs3,
                           shape_rna, scale_rna, shape_met1, shape_met2,
                           qi,pi_rna,pi_met,cutoff=10^-6,
                           alpha1,beta1,phi_1,phi_2,omega,prop)

Arguments

n1	sample size of data type $\boldsymbol x$.
n2	sample size of data type $\boldsymbol y$.
n3	sample size of data type $\boldsymbol z$.
p	number of features.
Xprobs1	prior probability of k clusters in data type $\boldsymbol x$.
Xprobs2	prior probability of k clusters in data type $\boldsymbol y$.
Xprobs3	prior probability of k clusters in data type $\boldsymbol z$.
shape_rna	shape parameter in data type $\boldsymbol y$ gamma mixture distribution.
scale_rna	scale parameter in data type $\boldsymbol y$ gamma mixture distribution.
shape_met1	shape 1 parameter in data type $\boldsymbol z$ beta mixture distribution.
shape_met2	shape 2 parameter in data type $\boldsymbol z$ beta mixture distribution.
qi	the probability that scCAS data has high gene score when gene g is active in cell i (i.e. pi_i1).

Value

Simulation data $\boldsymbol x$, $\boldsymbol y$ and $\boldsymbol z$ and parameters.

Author(s)

Jiaxuan WANGWU

cuhklinlab/scAMACE documentation built on Dec. 19, 2021, 7:03 p.m.