ArrayProspector

ArrayProspector predicts functional associations between genes from microarray expression data to infer coexpression-based gene relationships for functional genomics analyses.

Key Features:

• Comprehensive Dataset: Utilizes over 200,000 pre-computed gene associations derived from microarray expression data across 12 different species sourced from the Stanford Microarray Database.
• Novel Algorithm: Applies a novel algorithm to analyze expression data and infer high-confidence functional links between genes, enabling simultaneous analysis across multiple datasets.
• Search Functionality: Provides search capabilities to identify genes linked to a specific query or to explore associations between two particular genes based on coexpression data.

Scientific Applications:

• Gene Function Prediction: Uses coexpression patterns to predict functions of uncharacterized genes for functional genomics studies.
• Comparative Genomics: Supports cross-species analyses using data from 12 species to identify conserved gene associations and evolutionary relationships.
• Network Biology: Enables construction and analysis of gene interaction networks based on inferred functional associations.

Methodology:

Analyzes microarray expression data from the Stanford Microarray Database and applies a novel algorithm to generate coexpression-based predictions and pre-computed gene associations across multiple species.