A-MADMAN

A-MADMAN performs annotation-based meta-analysis of microarray gene expression datasets by retrieving, re-annotating, normalizing, and integrating data from public repositories such as NCBI GEO.

Key Features:

• Batch Retrieval and Organization: Automated batch retrieval of datasets from NCBI GEO with local organization of raw data files and associated metadata.
• Annotation and Metadata Enhancement: Re-annotation of samples to correct or augment incomplete metadata and to create user-defined sample batches.
• Cross-Platform Integrative Analysis: Support for integration across Affymetrix platforms using custom chip definition files and meta-normalization to ensure comparability.
• Automation of Analytical Steps: Automation of core analytical steps for data retrieval, metadata management, normalization, and integration.

Scientific Applications:

• Meta-analysis of multiple studies: Combine microarray gene expression datasets from distinct studies to increase statistical power and robustness.
• Cross-platform validation: Validate findings across different experimental conditions and Affymetrix platforms.
• Hypothesis extraction and validation: Extract genomic information and support validation of biological hypotheses using publicly available microarray datasets.

Methodology:

Automated fetching of datasets from NCBI GEO; re-annotation and enhanced metadata management of samples; normalization across Affymetrix platforms using custom chip definition files and meta-normalization for dataset integration.