Implements a constrained version of hierarchical agglomerative clustering, in which each observation is associated to a position, and only adjacent clusters can be merged. Typical application fields in bioinformatics include Genome-Wide Association Studies or Hi-C data analysis, where the similarity between items is a decreasing function of their genomic distance. Taking advantage of this feature, the implemented algorithm is time and memory efficient. This algorithm is described in Ambroise et al (2019) <doi:10.1186/s13015-019-0157-4>.
Version: 0.6.10 Depends: R (≥ 4.0.0) Imports: stats, graphics, grDevices, Rcpp (≥ 1.0.6), Matrix, sparseMatrixStats, methods, utils, capushe, ggplot2, dendextend, rlang LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, testthat, rmarkdown, rioja, HiTC, snpStats, BiocGenerics Published: 2024-10-08 DOI: 10.32614/CRAN.package.adjclust Author: Christophe Ambroise [aut], Shubham Chaturvedi [aut], Alia Dehman [aut], Pierre Neuvial [aut, cre], Guillem Rigaill [aut], Nathalie Vialaneix [aut], Gabriel Hoffman [aut] Maintainer: Pierre Neuvial <pierre.neuvial at math.univ-toulouse.fr> BugReports: https://github.com/pneuvial/adjclust/issues License: GPL-3 URL: https://pneuvial.github.io/adjclust/ NeedsCompilation: yes Language: en-US Citation: adjclust citation info Materials: README NEWS In views: Omics CRAN checks: adjclust resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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