BRB-ArrayTools 4.5.0

BRB-ArrayTools 4.5.0 provides statistical analysis and predictive modeling for DNA microarray gene expression data, including classifier development, complete cross-validation, gene annotation, pathway analysis, and import of GEO datasets.

Key Features:

• Advanced statistical methods: Implements statistical methods for analysis of DNA microarray and other high-dimensional gene expression datasets.
• Predictive classifier development: Supports development of predictive classifiers for gene expression data.
• Complete cross-validation: Performs full cross-validation for evaluation and validation of predictive classifiers.
• GEO import: Supports import of data directly from the Gene Expression Omnibus (GEO) at the National Center for Biotechnology Information (NCBI).
• Gene annotation and pathway analysis: Provides links to genomic websites to enable gene annotation and pathway analysis.
• Published dataset archive: Includes an archive of over 100 published microarray datasets with associated clinical data.

Scientific Applications:

• Microarray gene expression analysis: Analysis of DNA microarray experiments and gene expression profiling.
• Predictive model development and validation: Development and validation of predictive classifiers using cross-validation on gene expression data.
• Annotation and pathway interpretation: Annotation of genes and interpretation of pathways via links to genomic databases.
• Reanalysis and benchmarking: Reanalysis, benchmarking, and method validation using the included archive of published microarray datasets with clinical annotations.

Methodology:

Implements predictive classifier development with complete cross-validation, supports import of data from GEO (NCBI), and uses links to genomic websites for gene annotation and pathway analysis; includes an archive of over 100 published microarray datasets with clinical data.