crosstalkr: Analysis of Graph-Structured Data with a Focus on Protein-Protein Interaction Networks (original) (raw)
Provides a general toolkit for drug target identification. We include functionality to reduce large graphs to subgraphs and prioritize nodes. In addition to being optimized for use with generic graphs, we also provides support to analyze protein-protein interactions networks from online repositories. For more details on core method, refer to Weaver et al. (2021) <https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008755>.
Version: | 1.0.5 |
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Depends: | R (≥ 2.10) |
Imports: | rlang, magrittr, withr, readr, dplyr, stringr, tidyr, tibble, igraph (≥ 1.2.0), Matrix, ensembldb, foreach, doParallel, Rcpp, iterators, ggplot2, STRINGdb |
LinkingTo: | Rcpp |
Suggests: | tidygraph, ggraph, testthat (≥ 2.0.0), knitr, EnsDb.Hsapiens.v86, rmarkdown, here |
Published: | 2024-05-17 |
DOI: | 10.32614/CRAN.package.crosstalkr |
Author: | Davis Weaver [aut, cre] (0000-0003-3086-497X) |
Maintainer: | Davis Weaver <davis.weaver at case.edu> |
License: | GPL (≥ 3) |
NeedsCompilation: | yes |
Materials: | README |
CRAN checks: | crosstalkr results |
Documentation:
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