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Explainable AI Frameworks Revealing Oncogene Network Decision Pathways

Ai Cancer Biology

Deep Learning for Oncogene Interaction Networks

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Ai Cancer Biology › Deep Learning for Oncogene Interaction Networks

Explainable AI Frameworks Revealing Oncogene Network Decision Pathways

This work develops interpretable deep learning frameworks using SHAP, LIME, and attention visualization to decode which oncogene interactions drive cancer phenotypes. The explainability research produces mechanistic insights into network decisions and validates computational predictions through biological hypothesis generation.

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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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