doi:10.1088/1361-6560/ace305>. A general reference to learn more about mathematical oncology can be found at Rockne et al. (2019) <doi:10.1088/1478-3975/ab1a09>.">

gtexture: Generalized Application of Co-Occurrence Matrices and Haralick Texture (original) (raw)

Generalizes application of gray-level co-occurrence matrix (GLCM) metrics to objects outside of images. The current focus is to apply GLCM metrics to the study of biological networks and fitness landscapes that are used in studying evolutionary medicine and biology, particularly the evolution of cancer resistance. The package was developed as part of the author's publication in Physics in Medicine and Biology Barker-Clarke et al. (2023) <doi:10.1088/1361-6560/ace305>. A general reference to learn more about mathematical oncology can be found at Rockne et al. (2019) <doi:10.1088/1478-3975/ab1a09>.

Version: 1.0.1
Imports: dlookr, dplyr (≥ 1.0), fitscape (≥ 0.1), igraph, magrittr (≥ 2.0), rlang, tidyr
Suggests: stats, testthat
Published: 2025-09-02
DOI: 10.32614/CRAN.package.gtexture
Author: Rowan Barker-ClarkeORCID iD [aut, cre], Raoul Wadhwa ORCID iD [aut], Davis Weaver [aut], Jacob Scott ORCID iD [aut]
Maintainer: Rowan Barker-Clarke
BugReports: https://github.com/rbarkerclarke/gtexture/issues
License: MIT + file
URL: https://rbarkerclarke.github.io/gtexture/
NeedsCompilation: no
Materials: NEWS
CRAN checks: gtexture results

Documentation:

Downloads:

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=gtextureto link to this page.