Package: epoc
Version: 0.2.6-1.1
Date: 2018-11-29
Encoding: UTF-8
Title: Endogenous Perturbation Analysis of Cancer
Author: Rebecka Jornsten, Tobias Abenius, Sven Nelander
Maintainer: Tobias Abenius <Tobias.Abenius@Chalmers.se>
Depends: R (>= 2.12.0), lassoshooting (>= 0.1.4), Matrix, methods
Imports: irr, elasticnet, survival
Suggests: graph
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 Jörnsten, Tobias Abenius, Teresia Kling, 
  Linnéa Schmidt, Erik Johansson, Torbjörn E M Nordling, 
  Bodil Nordlander, Chris Sander, Peter Gennemark, 
  Keiko Funa, Björn Nilsson, Linda Lindahl, Sven Nelander
  (2011) <doi:10.1038/msb.2011.17>.
License: LGPL-3
NeedsCompilation: no
Packaged: 2019-08-26 07:51:49 UTC; hornik
Repository: CRAN
Date/Publication: 2019-08-26 07:55:29 UTC
Built: R 4.1.3; ; 2023-04-17 15:55:09 UTC; windows
