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Network-centric framework for integrative analysis of high-throughput gene expression data using user-supplied gene-gene interaction graphs. Constructs seed-centered multi-generation networks constrained by expression correlations and simulates expression perturbation scenarios via regression-based prediction (van Dam, 2018).
| Version: | 0.1.1 |
| Depends: | R (≥ 4.1.0) |
| Imports: | igraph, ggplot2, uwot, Metrics, crayon |
| Published: | 2026-03-04 |
| DOI: | 10.32614/CRAN.package.ExpressionCellNet (may not be active yet) |
| Author: | Ehsan Keramati [aut, cre] |
| Maintainer: | Ehsan Keramati <ehsan.keramati14 at gmail.com> |
| License: | GPL-3 |
| URL: | https://doi.org/10.1093/bib/bbw139 |
| NeedsCompilation: | no |
| CRAN checks: | ExpressionCellNet results |
| Reference manual: | ExpressionCellNet.html , ExpressionCellNet.pdf |
| Package source: | ExpressionCellNet_0.1.1.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): ExpressionCellNet_0.1.1.tgz, r-oldrel (arm64): ExpressionCellNet_0.1.1.tgz, r-release (x86_64): ExpressionCellNet_0.1.1.tgz, r-oldrel (x86_64): ExpressionCellNet_0.1.1.tgz |
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