adjclust: Adjacency-Constrained Clustering of a Block-Diagonal Similarity Matrix

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>.

Package details

AuthorChristophe Ambroise [aut], Shubham Chaturvedi [aut], Alia Dehman [aut], Pierre Neuvial [aut, cre] (<>), Guillem Rigaill [aut], Nathalie Vialaneix [aut] (<>), Gabriel Hoffman [aut]
Bioconductor views Clustering FeatureExtraction
MaintainerPierre Neuvial <>
Package repositoryView on CRAN
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adjclust documentation built on May 29, 2024, 1:26 a.m.