Multivariate networks are made up of nodes and their relationships (links), but also data
about those nodes and links as attributes. Most real‐world networks are associated with …

Graph visualization is an important field in information visualization that is centered on the
graphical display of graph-structured data. Yet real world data is rarely just graph-structured …

Abstract Information visualization focuses on the use of techniques to help people
understand and analyze data. This chapter puts multivariate networks in the context of the …

Analyzing large, multivariate graphs is an important problem in many domains, yet such
graphs are challenging to visualize. In this paper, we introduce a novel, scalable, tree-table …

The majority of diseases that are a significant challenge for public and individual heath are
caused by a combination of hereditary and environmental factors. In this paper we introduce …

Pathway maps are an important source of information when analyzing functional
implications of experimental data on biological processes. However, associating large …

Networks are widely used in modeling relational data often comprised of thousands of
nodes and edges. This kind of data alone implies a challenge for its visualization as it is …

Visual exploration and analysis is a process of discovering and dissecting the abundant and
complex attribute relationships that pervade multidimensional data. Recent research has …

Approaches to investigate biological processes have been of strong interest in the past few
years and are the focus of several research areas like systems biology. Biological networks …

Jointly analyzing biological pathway maps and experimental data is critical for
understanding how biological processes work in different conditions and why different …