GeneBox: Interactive Visualization of Microarray Data Sets

Abstract Technological advancements are constantly increasing the size and complexity of data resulting from microarray experiments. This fact has led biologists to ask complex questions, which the existing, fully automated analyses are often not adequate to answer. We present GeneBox, an interactive tool for two-dimensional and threedimensional visualization of microarray data sets resulting from experiments involving multiple experimental variables, for example, multiple genotypes and time points. Through an easy-to-use interface, GeneBox facilitates the exploration of such data, especially in visually “highlighting” interesting genes and supporting the formulation of hypotheses on their functional differences and similarities. GeneBox is based on state-of-the-art statistical methods for microarray data normalization, differential expression inference, and significance determination. We demonstrate our tool on a public microarray dataset consisting of multiple genotypes under di...

• Type: Conference
• Year: 2003
• Where: METMBS
• Authors: Nameeta Shah, Vladimir Filkov, Bernd Hamann, Kenneth I. Joy
• Keywords: Mathematics, METMBS 2003, Microarray Data, Microarray Data Normalization, Multiple Genotypes