VizStruct: exploratory visualization for gene expression profiling | Zendy

Li Zhang | Zendy; Aidong Zhang | Zendy; Murali Ramanathan | Zendy

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VizStruct: exploratory visualization for gene expression profiling

Author(s) -

Li Zhang,

Aidong Zhang,

Murali Ramanathan

Publication year - 2003

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btg377

Subject(s) - visualization , computer science , data mining , java , software , snapshot (computer storage) , set (abstract data type) , data visualization , web application , profiling (computer programming) , gene expression profiling , database , gene , gene expression , programming language , biology , world wide web , biochemistry

DNA arrays provide a broad snapshot of the state of the cell by measuring the expression levels of thousands of genes simultaneously. Visualization techniques can enable the exploration and detection of patterns and relationships in a complex data set by presenting the data in a graphical format in which the key characteristics become more apparent. The dimensionality and size of array data sets however present significant challenges to visualization. The purpose of this study is to present an interactive approach for visualizing variations in gene expression profiles and to assess its usefulness for classifying samples.

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