VisBicluster

VisBicluster visualizes biclusters in gene expression datasets by representing biclusters and their overlaps to facilitate interpretation of co-expressed genes across specific experimental conditions.

Key Features:

• Matrix-Based Layout: Each bicluster is represented as a column within a two-dimensional matrix to structure visualization of multiple biclusters.
• Overlap Representation: Overlaps between biclusters are depicted as rows to show intersections among overlapping biclusters.
• Heatmap Integration: Heatmaps display the elements (genes and conditions) within individual biclusters or their intersections for pattern inspection.
• Intersection Querying: The matrix of bicluster intersections can be queried to visualize specific intersection results.
• Support for Biclustering Outputs: Designed to visualize outputs from biclustering analyses applied to gene expression datasets.

Scientific Applications:

• Gene Expression Analysis: Identification and interpretation of co-expressed genes under specific subsets of experimental conditions.
• Exploration and Validation: Exploration and validation of biclustering results from both real and synthetic gene expression datasets.

Methodology:

Computational steps include representing each bicluster as a column in a two-dimensional matrix, depicting overlaps as rows, integrating heatmaps to show genes and conditions within biclusters or intersections, and supporting queries of the bicluster-intersection matrix.