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Explainable Graph Neural Networks for Cancer Driver Gene Discovery

Ai Cancer Biology

Graph Neural Networks Cancer Pathway Analysis

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Ai Cancer Biology › Graph Neural Networks Cancer Pathway Analysis

Explainable Graph Neural Networks for Cancer Driver Gene Discovery

This research develops explainability methods for GNNs to identify and validate novel cancer driver genes by analyzing their pathway neighborhood influence. The scientific contribution provides graph-derived evidence linking candidate drivers to known oncogenic pathways with biological interpretability.

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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal

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