Improved tree view for visualising microarray gene expression data

被引：0
作者：
Prasad T.V. [1 ]
Ahson S.I. [2 ]
机构：
[1] Lingaya's University
[2] Patna University, Patna 800 005, Bihar
来源：
International Journal of Information and Communication Technology | 2010年 / 2卷 / 04期
关键词：
Bioinformatics; Data mining; Microarray gene expression data; Tree view; Visualisation;
D O I：
10.1504/IJICT.2010.034974
中图分类号：
学科分类号：
摘要：
The tree view visualisation provides basis for phylogenetic analysis as well as relationship between various elements in a set or collection. It also presents one of the most elegant representations of microarray data analysis results. The classical Eisen Tree View software is the most widely used software for visualisation of microarray gene expression data. Certain anomalies in the software were found, which have been brought out and improved through newly developed software called Gene Expression Data Analysis Suite (GEDAS). Further, the algorithm has been modified to represent duplicate entries, if any, present in the dataset. A method of conversion of tree view output into cluster view form is another highlight. Through this paper, certain other features of such tree representations have been discussed. Copyright © 2010 Inderscience Enterprises Ltd.
引用
收藏
页码：323 / 330
页数：7
相关论文
共 6 条
[1]  
Cluster and TreeView Software (Hierarchical Clustering, K-means and Tree Display), (1998)
[2]  
Jagota A., Microarray Data Analysis and Visualization, (2001)
[3]  
Kumar V., Data Mining Algorithms, (2002)
[4]  
Luo F., Tang K., Khan L., Hierarchical Clustering of Gene Expression Data, (2003)
[5]  
Prasad T.V., Modeling Gene Expression with Artificial Neural Networks, (2006)
[6]  
Prasad T.V., Ravindra Babu P., Ahson S.I., GEDAS - Gene Expression Data Analysis Suite, (2006)
1