Learn R Programming

epoc (version 0.2.6-1.1)

Endogenous Perturbation Analysis of Cancer

Description

Estimates sparse matrices A or G using fast lasso regression from mRNA transcript levels Y and CNA profiles U. Two models are provided, EPoC A where AY + U + R = 0 and EPoC G where Y = GU + E, the matrices R and E are so far treated as noise. For details see the manual page of 'lassoshooting' and the article Rebecka Jrnsten, Tobias Abenius, Teresia Kling, Linna Schmidt, Erik Johansson, Torbjrn E M Nordling, Bodil Nordlander, Chris Sander, Peter Gennemark, Keiko Funa, Bjrn Nilsson, Linda Lindahl, Sven Nelander (2011) .

Copy Link

Version

Install

install.packages('epoc')

Monthly Downloads

40

Version

0.2.6-1.1

License

LGPL-3

Maintainer

Tobias Abenius

Last Published

August 26th, 2019

Functions in epoc (0.2.6-1.1)

epoc.validation

epoc.validation
synth

Blinded cancer mRNA, CNA and survival data
epoc.bootstrap

epoc.bootstrap
plot.EPoC.validation

Plot model validation criteria
EPoC

EPoC
modelselPlot

Plot BIC, Mallow's Cp and \(\lambda\)
epoc.survival

epoc.survival
plapply

Parallell list apply