Installation
About
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.
Citation | adjclust citation info |
pneuvial.github.io/adjclust/ | |
Bug report | File report |
Key Metrics
Downloads
Yesterday | 37 0% |
Last 7 days | 102 -20% |
Last 30 days | 562 -13% |
Last 90 days | 1.938 +52% |
Last 365 days | 6.099 +4% |