Literature DB >> 17968077

Exploring multiple trees through DAG representations.

Martin Graham1, Jessie Kennedy.   

Abstract

We present a Directed Acyclic Graph visualisation designed to allow interaction with a set of multiple classification trees, specifically to find overlaps and differences between groups of trees and individual trees. The work is motivated by the need to find a representation for multiple trees that has the space-saving property of a general graph representation and the intuitive parent-child direction cues present in individual representation of trees. Using example taxonomic data sets, we describe augmentations to the common barycenter DAG layout method that reveal shared sets of child nodes between common parents in a clearer manner. Other interactions such as displaying the multiple ancestor paths of a node when it occurs in several trees, and revealing intersecting sibling sets within the context of a single DAG representation are also discussed.

Entities:  

Year:  2007        PMID: 17968077     DOI: 10.1109/TVCG.2007.70556

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  1 in total

1.  An expert study on hierarchy comparison methods applied to biological taxonomies curation.

Authors:  Lilliana Sancho-Chavarria; Fabian Beck; Erick Mata-Montero
Journal:  PeerJ Comput Sci       Date:  2020-06-29
  1 in total

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