MPIC
MPIC provides a curated omics database and analysis engine to validate prognostic biomarkers and gene signatures for liver cirrhosis by integrating study design, clinical context, and statistical power annotations.
Key Features:
- Tailored Omics Database: Integrates study design, clinical context, and statistical power annotations into omics datasets specific to liver cirrhosis.
- Structured Molecular and Clinical Data: Organizes molecular profiles and clinical outcomes by defined disease contexts with domain-expert annotations of study design and anticipated statistical power.
- Bioinformatics Analysis Engine: Accepts gene signatures or individual genes to perform prognostic prediction and evaluate significance across patient cohorts.
Scientific Applications:
- Biomarker validation in liver cirrhosis: Facilitates validation of prognostic biomarkers across defined clinical outcomes and patient cohorts.
- Gene signature assessment: Enables assessment of prognostic performance of candidate gene signatures and individual genes.
- Translational prioritization: Supports prioritization of candidate biomarkers for translational studies by incorporating study design and statistical power considerations.
Methodology:
Implemented using Java, Apache, and MySQL.
Topics
Details
- Tool Type:
- web application
- Programming Languages:
- Java, SQL
- Added:
- 1/9/2020
- Last Updated:
- 12/29/2020
Operations
Publications
Yip SH, Fujiwara N, Burke J, Shetler A, Peralta C, Qian T, Hoshida H, Zhu S, Hoshida Y. MPIC: Molecular Prognostic Indicators in Cirrhosis Database for Clinical Context-Specific in Silico Prognostic Biomarker Validation. Frontiers in Genetics. 2019;10. doi:10.3389/fgene.2019.00830. PMID:31620162. PMCID:PMC6759478.
PMID: 31620162
PMCID: PMC6759478
Funding: - Foundation for the National Institutes of Health: R01 DK099558
- Commission européenne Office Européen de Lutte Antifraude: ERC-2014-AdG-671231
- U.S. Department of Defense: W81XWH-16-1-0363
- Cancer Prevention and Research Institute of Texas: RR180016