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hicream: HI-C diffeREntial Analysis Method
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.
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Package details |
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| Author | Elise Jorge [aut, cre], Sylvain Foissac [aut], 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] |
| Maintainer | Elise Jorge <elise.jorge@inrae.fr> |
| License | GPL (>= 3) |
| Version | 0.0.1 |
| URL | https://forgemia.inra.fr/scales/hicream |
| Package repository | View on CRAN |
| Installation |
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