OptimBFA: Optimize parameters of BFA's likelihood function

In quon-titative-biology/scBFA: A dimensionality reduction tool using gene detection pattern to mitigate noisy expression profile of scRNA-seq

Description

Optimize parameters of BFA's likelihood function

Usage

OptimBFA(modelEnv, maxit, method)

Arguments

modelEnv	Environment variable contains parameter space, and global variables such as N,G,C,detection matrix B, etc
maxit	Maximum number of iteration with respect to objective function, default is 300 iterations
method	Optimization method, default is the conjugate gradient approach L-BFGS-B is recommended for smaller dataset less than 10k cells

Value

The entire model environment

quon-titative-biology/scBFA documentation built on March 24, 2020, 7:30 p.m.