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

Provides a general framework for the identification of nodes that are functionally related to a set of seeds in graph structured data. 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 Nibbe et al. (2010) <doi:10.1371/journal.pcbi.1000639>.

Version: 0.9.0
Imports: rlang, stats, magrittr, withr, readr, dplyr, stringr, tidyr, tibble, igraph (≥ 1.2.0), Matrix, ensembldb, foreach, doParallel, ggplot2, EnsDb.Hsapiens.v79, STRINGdb
Suggests: tidygraph, ggraph, testthat (≥ 2.0.0), knitr, rmarkdown
Published: 2022-11-16
Author: Davis Weaver [aut, cre] (0000-0003-3086-497X)
Maintainer: Davis Weaver <davis.weaver at case.edu>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README
CRAN checks: crosstalkr results

Documentation:

Reference manual: crosstalkr.pdf
Vignettes: crosstalkr_vignette

Downloads:

Package source: crosstalkr_0.9.0.tar.gz
Windows binaries: r-devel: crosstalkr_0.9.0.zip, r-release: crosstalkr_0.8.0.zip, r-oldrel: crosstalkr_0.9.0.zip
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): crosstalkr_0.9.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available
Old sources: crosstalkr archive

Linking:

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