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September 30, 2025Frontiers in Systems BiologyOpen Access

GETgene-AI: a framework for prioritizing actionable cancer drug targets

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Authors

AGAlex GuJCJake Y. Chen

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Overview

GETgene-AI demonstrates improved prioritization of actionable targets in pancreatic cancer, suggesting efficient integration of machine learning and multi-omics datasets.

Key Points

  • GETgene-AI prioritizes actionable drug targets in cancer research, overcoming complexities in tumor biology.
  • The framework achieves greater precision and recall compared to GEO2R and STRING in ranking drug targets.
  • GETgene-AI incorporates an advanced AI model to automate literature analysis and improve efficiency in target prioritization.
  • Designed for scalability, GETgene-AI can be applied across various cancers and diseases to enhance therapeutic strategies.

Cite This Study

Gu et al. (2025) studied this question.

synapsesocial.com/papers/68dc262a8a7d58c25ebb3449https://doi.org/10.3389/fsysb.2025.1649758
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