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_0.9.0.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

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