Feature detection in linked derived spaces
Proceedings of the conference on Visualization '98
Hierarchical parallel coordinates for exploration of large datasets
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
ACM Computing Surveys (CSUR)
Guidelines for using multiple views in information visualization
AVI '00 Proceedings of the working conference on Advanced visual interfaces
Proceedings of the conference on Visualization '00
Interactive feature specification for focus+context visualization of complex simulation data
VISSYM '03 Proceedings of the symposium on Data visualisation 2003
Interactive Focus+Context Visualization with Linked 2D/3D Scatterplots
CMV '04 Proceedings of the Second International Conference on Coordinated & Multiple Views in Exploratory Visualization
Dual Clustering: Integrating Data Clustering over Optimization and Constraint Domains
IEEE Transactions on Knowledge and Data Engineering
Open source clustering software
Bioinformatics
GeneCluster 2.0: an advanced toolset for bioarray analysis
Bioinformatics
CSBW '05 Proceedings of the 2005 IEEE Computational Systems Bioinformatics Conference - Workshops
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
A knowledge integration framework for information visualization
From Integrated Publication and Information Systems to Virtual Information and Knowledge Environments
EUROVIS'06 Proceedings of the Eighth Joint Eurographics / IEEE VGTC conference on Visualization
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Dual analysis of DNA microarrays
Proceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies
Interactive visual analysis of temporal cluster structures
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
Integrating cluster formation and cluster evaluation in interactive visual analysis
Proceedings of the 27th Spring Conference on Computer Graphics
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The recent development of methods for extracting precise measurements of spatial gene expression patterns from three-dimensional (3D) image data opens the way for new analyses of the complex gene regulatory networks controlling animal development. We present an integrated visualization and analysis framework that supports user-guided data clustering to aid exploration of these new complex data sets. The interplay of data visualization and clustering-based data classification leads to improved visualization and enables a more detailed analysis than previously possible. We discuss 1) the integration of data clustering and visualization into one framework, 2) the application of data clustering to 3D gene expression data, 3) the evaluation of the number of clusters k in the context of 3D gene expression clustering, and 4) the improvement of overall analysis quality via dedicated postprocessing of clustering results based on visualization. We discuss the use of this framework to objectively define spatial pattern boundaries and temporal profiles of genes and to analyze how mRNA patterns are controlled by their regulatory transcription factors.