scAImodel: Solving the optimization problem in scAI

In sqjin/scAI: integrative analysis of single-cell transcriptomic and epigenomic profiles

Description

Solving the optimization problem in scAI

Usage

scAImodel(X1, X2, K, s = 0.25, alpha = 1, lambda = 1e+05,
  gamma = 1, maxIter = 500, stop_rule = 1, R.init = NULL,
  W1.init = NULL, W2.init = NULL, H.init = NULL, Z.init = NULL)

Arguments

X1	Single-cell transcriptomic data matrix (norm.data)
X2	Single-cell epigenomic data matrix (norm.data)
K	Rank of inferred factors
s	Probability of Bernoulli distribution
alpha	model parameter
lambda	model parameter
gamma	model parameter
maxIter	Maximum number of iteration
stop_rule	Stop rule to be used
R.init	initialization of R
W1.init	initialization of W1
W2.init	initialization of W2
H.init	initialization of H
Z.init	initialization of Z

sqjin/scAI documentation built on Nov. 19, 2020, 4:04 p.m.