Single-sample landscape entropy reveals the imminent phase transition during disease progression
Author(s) -
Rui Liu,
Pei Chen,
Luonan Chen
Publication year - 2019
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btz758
Subject(s) - entropy (arrow of time) , statistical physics , sample (material) , sample entropy , phase transition , transition (genetics) , statistics , econometrics , mathematics , computer science , biology , chemistry , physics , chromatography , genetics , thermodynamics , gene
The time evolution or dynamic change of many biological systems during disease progression is not always smooth but occasionally abrupt, that is, there is a tipping point during such a process at which the system state shifts from the normal state to a disease state. It is challenging to predict such disease state with the measured omics data, in particular when only a single sample is available.
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