geoCancerPrognosticDatasetsRetriever

geoCancerPrognosticDatasetsRetriever retrieves cancer prognostic gene expression datasets from the Gene Expression Omnibus (GEO) using specified cancer types and microarray platforms to support prognostic analyses and meta-analyses.

Key Features:

• Automated Retrieval: Searches GEO for prognostic microarray gene expression datasets using specified cancer type and microarray platform criteria.
• Output Specification: Returns GEO accession codes for identified datasets to enable direct data access.
• Implementation: Implemented in Perl 5.
• Time Efficiency: Automates identification and retrieval to reduce manual search effort for prognostic datasets.

Scientific Applications:

• Meta-Analyses: Aggregates prognostic gene expression datasets across cohorts to enable cross-study meta-analysis.
• Oncology Research: Provides datasets for studies of cancer progression, treatment response, and identification of prognostic markers for personalized medicine.

Methodology:

Performs a systematic search of GEO based on user-defined criteria (cancer type and microarray platforms) and processes those inputs to identify and return relevant prognostic gene expression datasets (GEO accession codes).