HIC diffeREntial Analysis Method R package hicream version 0.0.4 Perform Hi-C data differential analysis based on pixel-level differential analysis and a post hoc inference strategy to quantify signal in clusters of pixels. Clusters of pixels are obtained through a connectivity-constrained two-dimensional hierarchical clustering. Software Depends: R (>= 4.0.0), reticulate Imports: adjclust, auk, BiocGenerics, csaw, diffHic, dplyr, edgeR, GenomeInfoDb, GenomicRanges, InteractionSet, limma, Matrix, methods, reshape2, rlang, S4Vectors, stats, SummarizedExperiment, utils, viridis Suggests: knitr, rmarkdown Elise Jorge <elise.jorge@inrae.fr> Comprehensive R Archive Network (CRAN) Elise Jorge [aut, cre], Sylvain Foissac [aut] (ORCID: <https://orcid.org/0000-0002-2631-5356>), Toby Hocking [aut] (ORCID: <https://orcid.org/0000-0002-3146-0865>), Pierre Neuvial [aut] (ORCID: <https://orcid.org/0000-0003-3584-9998>), Nathalie Vialaneix [aut] (ORCID: <https://orcid.org/0000-0003-1156-0639>), Gilles Blanchard [ctb], Guillermo Durand [ctb] (ORCID: <https://orcid.org/0000-0003-4056-5631>), Nicolas Enjalbert-Courrech [ctb], Etienne Roquain [ctb] GPL (>= 3) 2026-01-30 application/tgz https://CRAN.R-project.org/package=hicream doi:10.32614/CRAN.package.hicream