Adjacency-constrained hierarchical clustering of a band similarity matrix with application to genomics

HIGHLIGHTS

  • who: Christophe Ambroise from the (UNIVERSITY) have published the research: Adjacency-constrained hierarchical clustering of a band similarity matrix with application to genomics, in the Journal: (JOURNAL)
  • what: The aim of this paper is to develop heuristics that can be applied to genomic studies in which the number of loci is so large (typically of the order of p=104 to 106) that algorithms of quadratic time and space complexity cannot be applied. The totally ordered case that is the focus of this paper has been studied by Grimm , and an R package implementing this . . .

     

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