Identifying the critical state of cancers by single-sample Markov flow entropy.

PeerJ(2023)

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摘要
The proposed method has shown its capability to accurately detect pre-disease states of four cancers and provide two novel prognostic biomarkers, O-sMFE and P-sMFE biomarkers, to facilitate the personalized prognosis of patients. This is a remarkable achievement that could have a major impact on the diagnosis and treatment of complex diseases.
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关键词
Critical state, Single-sample Markov flow entropy (sMFE), Critical transition, Dynamic network biomarker (DNB), Prognostic biomarker
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