Journal of Health & Medical Informatics

Marja Talikka

Publications

• Research Article
  Divergence Weighted Independence Graphs for the Exploratory Analysis of Biological Expression Data
  Author(s): Yang Xiang, Marja Talikka, Vincenzo Belcastro, Peter Sperisen, Manuel C. Peitsch, Julia Hoeng and Joe WhittakerYang Xiang, Marja Talikka, Vincenzo Belcastro, Peter Sperisen, Manuel C. Peitsch, Julia Hoeng and Joe Whittaker
  
  Motivation: Understanding biological processes requires tools for the exploratory analysis of multivariate data generated from in vitro and in vivo experiments. Part of such analyses is to visualise the interrelationships between observed variables. Results: We build on recent work using partial correlation, graphical Gaussian models, and stability selection to add divergence weighted independence graphs (DWIGs) to this toolbox. We measure all quantities in information units (bits and millibits), to give a common quantification of the strength of associations between variables and of the information explained by a fitted graphical model. The marginal mutual information (MI) and conditional MI between variables directly account for components of the information explained. The conditional MIs are displayed as edge weights in the independence graph of the variables, making the complete g.. Read More»
  DOI: 10.4172/2157-7420.S2-001

  Abstract PDF