GeneShelf builds upon a zoomable grid display to represent two categorical dimensions. It also incorporates an augmented timeline with expandable time points that better shows multiple data values for the focused time point by embedding bar charts. We applied GeneShelf to one of the largest microarray datasets generated to study the progression and recovery process of injuries at the spinal cord of mice and rats. There are also considerations of the analysis methods, and the entire data set was converted into three probe set algorithms (Plier, GC-RMA, and dChip), leading to nearly 10,000 microarray data files. SpinalCordLink can provide researchers with a good resource to interactively investigate one of the world largest microarray datasets.
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IEEE Trans Vis Comput Graph. 2009 Nov-Dec;15(6):905-12.
GeneShelf: a web-based visual interface for large gene expression time-series data repositories.
Kim B, Lee B, Knoblach S, Hoffman E, Seo J.