Multiscale scatterplot matrix for visual and interactive exploration of metabonomics data - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Conference Papers Year : 2006

Multiscale scatterplot matrix for visual and interactive exploration of metabonomics data

Fabien Jourdan
Alain Paris
  • Function : Author
  • PersonId : 1030158
Pierre-Yves Koenig
  • Function : Author
  • PersonId : 940144

Abstract

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 and versions

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

Identifiers

Cite

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⟩
301 View
244 Download

Altmetric

Share

Gmail Facebook X LinkedIn More