hCocena: Integrative Co-Expression Netzwerk-Analyse

hCocena is an advanced R-package designed for network-based co-expression analysis of transcriptomic data. It supports the analysis of both single and multiple datasets, enabling comprehensive integrative analysis across diverse conditions. hCocena facilitates the detection of co-expression patterns, network integration, and functional analysis, with a user-friendly and adaptable interface. The package includes extensive documentation and example workflows, making it accessible to users of varying programming expertise.

For more details and to access the package, visit hCocena on GitHub.

Marie Oestreich, Lisa Holsten, Shobhit Agrawal, Kilian Dahm, Philipp Koch, Han Jin, Matthias Becker, Thomas Ulas, hCocena: horizontal integration and analysis of transcriptomics datasets, Bioinformatics, Volume 38, Issue 20, 15 October 2022, Pages 4727–4734, https://doi.org/10.1093/bioinformatics/btac589

Lisa Holsten, Kilian Dahm, Marie Oestreich, Matthias Becker, Thomas Ulas,
hCoCena: A toolbox for network-based co-expression analysis and horizontal integration of transcriptomic datasets, STAR Protocols, Volume 5, Issue 1, 2024, doi.org/10.1016/j.xpro.2024.102922.