updateEM: Update parameters using EM algorithm

In FeifeiXiaoUSC/FLCNA: Simultaneous CNV Detection And Subclone Clustering With Single Cell Sequencing Data

Update parameters using EM algorithm

Description

In the Gaussian Mixture Model, parameters will be updated based on EM algorithm.

Usage

updateEM(p.in, mu.in, sigma.in, means, sum.x.sq, N, len, st)

Arguments

p.in	Initial probability for each CNA cluster.
mu.in	Initial mean value for each CNA cluster.
sigma.in	Initial variance for each CNA cluster.
means	Mean value vector for each segment.
sum.x.sq	Sum of squared mean values for each segment.
N	Number of candiate CNAs.
len	Width of candiate CNAs.
st	Number of assumed states in the EM algorithm.

Value

The return is the updated parameters using EM algorithm

p.new	Updated probability for each CNA cluster.
mu.new	Updated mean value for each CNA cluster.
sigma.new	Updated variance for each CNA cluster.

FeifeiXiaoUSC/FLCNA documentation built on March 29, 2025, 10:48 p.m.