Fourier Harmonic Approach for Visualizing Temporal Patterns of Gene Expression Data

Authors:
Li Zhang;Aidong Zhang;Murali Ramanathan
Affiliations:
-;-;-
Venue:
CSB '03 Proceedings of the IEEE Computer Society Conference on Bioinformatics
Year:
2003

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Abstract

DNA microarray technology provides a broad snapshotof the state of the cell by measuring the expression levelsof thousands of genes simultaneously. Visualization techniquescan enable the exploration and detection of patternsand relationships in a complex dataset by presenting thedata in a graphical format in which the key characteristicsbecome more apparent. The purpose of this study is topresent an interactive visualization technique conveying thetemporal patterns of gene expression data in a form intuitivefor non-specialized end-users.The first Fourier harmonic projection (FFHP) was introducedto translate the multi-dimensional time series datainto a two dimensional scatter plot. The spatial relationshipof the points reflect the structure of the original dataset andrelationships among clusters become two dimensional. Theproposed method was tested using two published, array-derivedgene expression datasets. Our results demonstratethe effectiveness of the approach.