Online bias-aware disease module mining with ROBUST-Web
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- Autor/in:
- Erscheinungsjahr:
- 2023
- Medientyp:
- Text
- Beschreibung:
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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.
- Lizenz:
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- info:eu-repo/semantics/openAccess
- Quellsystem:
- Forschungsinformationssystem der UHH
Interne Metadaten
- Quelldatensatz
- oai:www.edit.fis.uni-hamburg.de:publications/8d880275-0d83-44ea-bfc9-4994f2acc809