AI Article Synopsis
- ROBUST-Web is a user-friendly web application that utilizes the ROBUST disease module mining algorithm for exploring disease-related data.
- It offers features like gene set enrichment analysis, tissue expression annotation, and visualization of connections between drugs, proteins, and diseases.
- The app incorporates a new algorithmic feature that uses bias-aware edge costs to enhance the robustness of protein-protein interaction networks and reduce study bias.
Article Abstract
Summary: We present ROBUST-Web which implements our recently presented ROBUST disease module mining algorithm in a user-friendly web application. ROBUST-Web features seamless downstream disease module exploration via integrated gene set enrichment analysis, tissue expression annotation, and visualization of drug-protein and disease-gene links. Moreover, ROBUST-Web includes bias-aware edge costs for the underlying Steiner tree model as a new algorithmic feature, which allow to correct for study bias in protein-protein interaction networks and further improves the robustness of the computed modules.
Availability And Implementation: Web application: https://robust-web.net. Source code of web application and Python package with new bias-aware edge costs: https://github.com/bionetslab/robust-web, https://github.com/bionetslab/robust_bias_aware.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246579 | PMC |
| http://dx.doi.org/10.1093/bioinformatics/btad345 | DOI Listing |
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