crosstalkr: Analysis of Graph-Structured Data with a Focus on Protein-Protein Interaction Networks

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) <>.

Version: 1.0.2
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, msigdbr
Published: 2023-05-18
Author: Davis Weaver [aut, cre] (0000-0003-3086-497X)
Maintainer: Davis Weaver <davis.weaver at>
License: GPL (≥ 3)
NeedsCompilation: yes
Materials: README
CRAN checks: crosstalkr results


Reference manual: crosstalkr.pdf
Vignettes: crosstalkr_vignette


Package source: crosstalkr_1.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): crosstalkr_1.0.2.tgz, r-oldrel (arm64): crosstalkr_1.0.2.tgz, r-release (x86_64): crosstalkr_1.0.2.tgz, r-oldrel (x86_64): crosstalkr_1.0.2.tgz
Old sources: crosstalkr archive


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