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.
Originalsprache | Englisch |
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Aufsatznummer | btad345 |
Fachzeitschrift | Bioinformatics |
Jahrgang | 35 |
Ausgabenummer | 6 |
DOIs | |
Publikationsstatus | Veröffentlicht - 1 Juni 2023 |