A differential community detection (DCD) based approach to effectively locate differential sub-networks in paired scale-free biological networks, e.g. case vs control - Raghvendra Mall et al (2017) <doi:10.1145/3107411.3107418>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.4.0) |
| Imports: | Rdpack, data.table, igraph, ggplot2, ROCR, lsa, Matrix, lattice, WGCNA, qlcMatrix, foreach, plyr, doParallel |
| Published: | 2017-09-12 |
| Author: | Raghvendra Mall [aut, cre], Khalid Kunji [ctb], Michele Ceccarelli [ctb] |
| Maintainer: | Raghvendra Mall <rmall at hbku.edu.qa> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| URL: | https://www.r-project.org, http://dl.acm.org/citation.cfm?id=3107418 |
| NeedsCompilation: | no |
| CRAN checks: | DCD results |
| Reference manual: | DCD.pdf |
| Package source: | DCD_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: DCD_0.1.0.zip, r-oldrel: DCD_0.1.0.zip |
| macOS binaries: | r-release: DCD_0.1.0.tgz, r-oldrel: not available |
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