Java Treeview

Java Treeview visualizes clustered gene expression data to enable exploration and interpretation of microarray and other gene expression datasets.

Key Features:

• Large dataset handling: Efficient processing and visualization support for very large gene expression datasets.
• File format extensibility: Supports extensions to its file format to incorporate results from additional analyses.
• Clustered data visualization: Visualizes clustered gene expression datasets to represent grouping relationships among genes or samples.
• Multi-dimensional data support: Enables representation and comparison of multi-dimensional gene expression data.

Scientific Applications:

• Gene expression visualization: Visualization of gene expression profiles across microarray and other gene expression platforms.
• Microarray data interpretation: Interpretation of complex microarray datasets through clustered representations.
• Comparative analyses: Comparative studies that integrate and compare results from multiple analyses via extended file formats.
• Cluster analysis exploration: Examination of gene and sample clusters to investigate expression patterns and relationships.

Methodology:

Visualizes clustered gene expression datasets, supports extended file formats for incorporation of additional analysis results, and implements mechanisms for efficient handling of very large datasets.