PHELEX is a community research platform designed to help investigators explore, filter, and make use of publicly available data for biomarker discovery, validation, and hypothesis development. The application will be integrated with ConfidenceSoftware, which applies five complementary transcriptomic analyses to raw counts, supporting reliable gene prioritization.

The NCBI’S Gene Expression Omnibus database(GEO) hosts millions of gene expression experiments spanning human, mouse, rat, and other model organisms. Leveraging and reanalyzing data across multiple independent studies enhances statistical power, enabling the identification of new and more reliable biological insights compared to analyzing single datasets in isolation. Such secondary analyses can also guide experimental design. However, this process often requires detailed study information, as well as computational and statistical expertise, which may limit direct use by many biologists.

With PHELEX, users can:

1. Search GEO datasets using keywords, with options to filter by species, tissue source, and dataset type.
2. Compare datasets and conduct meta-analyses across studies.
3. Combine data from multiple studies to generate a COUNTS matrix.
4. Analyze count data using the integrated Confidence Software.

Currently, PHELEX supports paired- and single-end NGS studies related to pulmonary hypertension, with future updates planned to expand support to additional datasets. For questions or feedback, please contact us.