Cascade: Selection, Reverse-Engineering and Prediction in Cascade Networks

A modeling tool allowing gene selection, reverse engineering, and prediction in cascade networks. Jung, N., Bertrand, F., Bahram, S., Vallat, L., and Maumy-Bertrand, M. (2014) <doi:10.1093/bioinformatics/btt705>.

Version: 1.7
Depends: R (≥ 2.10)
Imports: abind, animation, cluster, grid, igraph, lars, lattice, limma, magic, methods, nnls, splines, stats4, survival, tnet, VGAM
Suggests: R.rsp, CascadeData, knitr
Published: 2019-02-18
Author: Frederic Bertrand ORCID iD [cre, aut], Myriam Maumy-Bertrand ORCID iD [aut], Laurent Vallat [ctb], Nicolas Jung [ctb]
Maintainer: Frederic Bertrand <frederic.bertrand at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Classification/MSC: 62J05, 62J07, 62J99, 92C42
Citation: Cascade citation info
Materials: NEWS
CRAN checks: Cascade results


Reference manual: Cascade.pdf
Vignettes: Cascade: Manual
Cascade: Introduction to Cascade
Cascade: E-MTAB-1475_re-analysis
Package source: Cascade_1.7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: not available, r-oldrel: Cascade_1.7.tgz

Reverse dependencies:

Reverse imports: SelectBoost


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