sisal: SISAL algorithm

In ctlab/ClusDec: Clustering approach to solve complete Deconvolution problem

Description

Sisal alogorithm for simplex endpoints identification

Usage

sisal(Y, p, iters = 80, tau = 1, mu = p * 1000/ncol(Y), spherize = T,
  tol = 0.01, m0 = NULL, verbose = F, returnPlot = T)

Arguments

Y	gene expression matrix
p	number of endpoints
iters	number of iterations to perform
tau	noise points penalty coefficient
mu	regularization
spherize	spherize or not
tol	numeric tolerance
m0	starting points for SISAL algorithm, default points are getting from VCA
verbose	verbosity
returnPlot	logical, is it needed to return dataframe or not

Details

Implementation of method

ctlab/ClusDec documentation built on May 14, 2019, 12:29 p.m.