3D visualization of gene clusters and networks

Zhang, Leishi and Sheng, Weiguo and Liu, Xiaohui (2005) 3D visualization of gene clusters and networks. In: Proceedings of SPIE - Visualization and Data Analysis 2005. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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In this paper, we try to provide a global view of DNA microarray gene expression data analysis and modeling process by combining novel and effective visualization techniques with data mining algorithms. An integrated framework has been proposed to model and visualize short, high-dimensional gene expression data. The framework reduces the dimensionality of variables before applying appropriate temporal modeling method. Prototype has been built using Java3D to visualize the framework. The prototype takes gene expression data as input, clusters the genes, displays the clustering results using a novel graph layout algorithm, models individual gene clusters using Dynamic Bayesian Network and then visualizes the modeling results using simple but effective visualization techniques.

Item Type: Conference or workshop item (Paper)
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Science Technology and Medical Studies > School of Computing > Applied and Interdisciplinary Informatics Group
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:03
Last Modified: 25 Jun 2014 14:54
Resource URI: https://kar.kent.ac.uk/id/eprint/14344 (The current URI for this page, for reference purposes)
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