Microarray Data Analysis Toolbox (MDAT)

Microarray Data Analysis Toolbox (MDAT) performs processing and analysis of gene expression data from microarray experiments as an open-source Matlab toolbox for normalization and differential expression detection.

Key Features:

• Normalization: Applies normalization techniques based on a normally distributed background model to adjust for systematic biases and variation in microarray data.
• Differential Gene Expression Analysis: Implements five distinct statistical measures to identify differentially expressed genes between experimental conditions.
• Open-source Modifiability: Provides source code allowing users to modify and adapt functions to specific analytical requirements.
• Matlab Integration: Requires Matlab as the execution environment to leverage Matlab computational capabilities.

Scientific Applications:

• Genomic research: Analysis of genome-wide gene expression patterns from microarray experiments.
• Oncology: Exploration of gene expression changes associated with cancer and related disease states.
• Developmental biology: Investigation of gene expression dynamics during development.
• Systems biology: Integration of expression data into systems-level studies of molecular networks.
• Biomarker discovery: Identification of potential biomarkers through differential expression analysis.
• Mechanistic studies: Investigation of molecular mechanisms underlying specific biological processes via expression changes.

Methodology:

Processes raw microarray data through normalization using a normally distributed background model and applies five statistical measures to perform differential gene expression analysis.