NetBID2 provides comprehensive hidden driver analysis

Research Square (Research Square)(2022)

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摘要
Abstract We present a comprehensive and versatile toolkit, NetBID2, for integrating multi-omics data and exposing hidden drivers that are not genetically altered or differentially expressed at the RNA/protein level by reverse-engineering context-specific interactomes and inferring protein activity. We deploy NetBID2 Viewer, Runner, and Cloud apps with 145 context-specific gene regulatory and signalling networks across normal tissues and paediatric and adult cancers to facilitate real-time interactive visualization, analysis, end-to-end use, and sharing.
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