NDLI: A novel interactive visualization framework for gene expression analysis

Content Provider	IEEE Xplore Digital Library
Author	Mahmoud, N. El-Eraky, H. Yousri, N.A. Magdy, S. Khaled, O. Ahmed, M. Abdel-Moety, S.
Copyright Year	2010
Description	Author affiliation: Computers and System Engineering Department, Faculty of Engineering, Alexandria University, Egypt (Mahmoud, N.; El-Eraky, H.; Yousri, N.A.; Magdy, S.; Khaled, O.; Ahmed, M.; Abdel-Moety, S.)
Abstract	Visualization techniques provide attractive tools to explore and analyze huge and high dimensional gene expression sets. Several visualization techniques have been developed that enabled users to visually analyze high dimensional data. However, these techniques should be integrated with efficient exploration techniques, as efficient clustering, outlier analysis, ensembles and cluster validation to boost the quality of the analysis process. Integrating such techniques in an interactive framework exploits users' knowledge to further enhance the analysis process. In this work, an interactive visualization framework for gene expression analysis is proposed that introduces several features to the visualization process by integrating it with recent data analysis algorithms in an interactive framework.
Starting Page	1247
Ending Page	1252
File Size	990079
Page Count	6
File Format	PDF
ISBN	9781424481347
e-ISBN	9781424481361
DOI	10.1109/ISDA.2010.5687079
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-29
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis visualization data analysis Partitioning algorithms Gene expression high dimensions Heating Data visualization Clustering algorithms interactivity clustering gene expression Principal component analysis
Content Type	Text
Resource Type	Article

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