NTHRYS › Internships › Ai Cancer Biology › Graph Neural Networks Cancer Pathway Analysis

Graph Signal Processing for Pathway Robustness and Redundancy Analysis

Ai Cancer Biology

Graph Neural Networks Cancer Pathway Analysis

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Ai Cancer Biology › Graph Neural Networks Cancer Pathway Analysis

Graph Signal Processing for Pathway Robustness and Redundancy Analysis

This research applies graph signal processing techniques to analyze how cancer pathways maintain functionality through redundant connections and bypass mechanisms. The work quantifies pathway robustness metrics and identifies critical nodes whose disruption maximally impairs cancer survival.

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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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