sisal: SISAL algorithm

Description Usage Arguments Details

View source: R/sisal.R

Description

Sisal alogorithm for simplex endpoints identification

Usage

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

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

nonNeg

logical, force simplex corners to non-negative space

Details

Implementation of method


ctlab/LinSeed documentation built on Aug. 9, 2019, 4:33 p.m.