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3D visualization of gene clusters and networks

Zhang, Leishi, Sheng, Weiguo, Liu, Xiaohui (2005) 3D visualization of gene clusters and networks. In: Proceedings of SPIE - Visualization and Data Analysis 2005. 5669. pp. 316-326. SPIE The International Society for Optical Engineering and IS&T The Society for Imaging Science and Technology, San Jose, California ISBN 0-8194-5642-X. (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) (KAR id:14344)

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. (Contact us about this Publication)

Abstract

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: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:03 UTC
Last Modified: 16 Feb 2021 12:25 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/14344 (The current URI for this page, for reference purposes)
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