Multiscale scatterplot matrix for visual and interactive exploration of metabonomics data - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Accéder directement au contenu
Communication Dans Un Congrès Année : 2006

Multiscale scatterplot matrix for visual and interactive exploration of metabonomics data

Fabien Jourdan
Alain Paris
  • Fonction : Auteur
  • PersonId : 1030158
Pierre-Yves Koenig
  • Fonction : Auteur
  • PersonId : 940144

Résumé

We describe a method turning scatterplot matrix visualizations into malleable graphical objects facilitating interaction and selection of pixelized data elements. The method relies on density estimation techniques [1, 2] applied through standard image processing. A 2D scatterplot is considered as an image and is then transformed into nested regions that can be easily selected. Based on Wattenberg and Fisher, and as confirmed by our experience, we believe users have a good intuition interpreting and interacting with these multiscale graphical objects. Bio-molecular data serves here as a case study for our methodology. The method was discussed and designed in collaboration with experts in metabonomics and has proven to be useful and complementary to classical statistical methods.
Fichier principal
Vignette du fichier
MultiscaleScatterplot_Metabonomics.pdf (1.02 Mo) Télécharger le fichier
Loading...

Dates et versions

lirmm-00091360 , version 1 (06-09-2006)

Identifiants

Citer

Fabien Jourdan, Alain Paris, Pierre-Yves Koenig, Guy Melançon. Multiscale scatterplot matrix for visual and interactive exploration of metabonomics data. Visual Information Expert Workshop, Apr 2006, Paris, France. pp.202-215, ⟨10.1007/978-3-540-71027-1_18⟩. ⟨lirmm-00091360⟩
302 Consultations
249 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More