ExpressionView

ExpressionView visualizes transcription modules derived from gene expression data to support exploration and interpretation of co-regulated genes and transcriptional regulation.

Key Features:

• Implementation: Implemented as an R package for analysis of gene expression datasets.
• Sophisticated Ordering Algorithm: Uses an ordering algorithm to organize transcription modules so relationships among genes and modules are highlighted.
• Biologically Relevant Metadata: Associates transcription modules with detailed biological metadata to aid interpretation and validation.

Scientific Applications:

• Transcriptomics Analysis: Analysis of gene expression data to identify patterns of co-expression and module structure.
• Module Identification: Identification and characterization of transcription modules relevant to transcriptional regulation.
• Regulatory Network Exploration: Exploration of potential regulatory networks and co-regulated gene sets using module-based summaries and metadata.
• Biological Interpretation and Validation: Integration of module annotations and metadata to support biological interpretation and validation studies.

Methodology:

Uses advanced algorithms, including a sophisticated ordering algorithm, to organize and display transcription modules derived from gene expression datasets.