GeneShelf

GeneShelf visualizes gene expression datasets across two categorical dimensions and temporal series using zoomable grids, augmented timelines, and embedded bar charts to support identification of expression patterns.

Key Features:

• Zoomable Grid Display: Utilizes a dynamic zoomable grid to represent two categorical dimensions of gene expression data, enabling navigation of complex datasets.
• Augmented Timeline with Expandable Time Points: Provides an augmented timeline with expandable time points that embed bar charts to display multiple data values associated with each focused time point.

Scientific Applications:

• Spinal cord injury microarray analysis (mouse and rat): Applied to a large microarray dataset studying progression and recovery processes of spinal cord injuries in mice and rats to examine gene expression changes over time and conditions.

Methodology:

Implements a dynamic zoomable grid to represent two categorical dimensions and an augmented timeline with expandable time points that embed bar charts showing multiple values per time point.