title: Fourier harmonic approach for visualizing temporal patterns of gene expression data.
abstract: DNA microarray technology provides 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 dataset by presenting the data in a graphical format in which the key characteristics become more apparent. The purpose of this study is to present an interactive visualization technique conveying the temporal patterns of gene expression data in a form intuitive for non-specialized end-users. The first Fourier harmonic projection (FFHP) was introduced to translate the multi-dimensional time series data into a two dimensional scatter plot. The spatial relationship of the points reflect the structure of the original dataset and relationships among clusters become two dimensional. The proposed method was tested using two published, array-derived gene expression datasets. Our results demonstrate the effectiveness of the approach.
authors.affiliation: Department of Computer Science and Engineering, State University of New York at Buffalo, 14260, USA. lizhang@cse.buffalo.edu
authors.forename: Li
authors.initials: L
authors.lastname: Zhang
authors.forename: Aidong
authors.initials: A
authors.lastname: Zhang
authors.forename: Murali
authors.initials: M
authors.lastname: Ramanathan
mesh_terms: D000465:Algorithms; D003196:Computer Graphics; D003198:Computer Simulation; D005583:Fourier Analysis; D015870:Gene Expression / Q000502:physiology*; D020869:Gene Expression Profiling / Q000379:methods*; D008957:Models, Genetic; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D012984:Software; D013997:Time Factors; D014584:User-Computer Interface