KAIST Develops Core Technology to Reverse Biological Changes Once Thought Irreversible, Opening New Possibilities for Aging and Cancer Research (IMAGE)
Caption
[Figure 5] Validation of the superior predictive performance of irreversibility-kernel-based analysis
Professor Kwang-Hyun Cho's research team compared the predictive performance of two approaches: the conventional method using all strongly connected components (SCCs), and a method using only the irreversibility kernel identified by ROOT. The results confirmed that irreversibility-kernel-based analysis predicts the actual probability of irreversibility occurring more accurately than the conventional approach.
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