Identifying critical state of complex diseases by single-sample Kullback-Leibler divergence.

ABSTRACT:

Background

Developing effective strategies for signaling the pre-disease state of complex diseases, a state with high susceptibility before the disease onset or deterioration, is urgently needed because such state usually followed by a catastrophic transition into a worse stage of disease. However, it is a challenging task to identify such pre-disease state or tipping point in clinics, where only one single sample is available and thus results in the failure of most statistic approaches.

Methods

In this study, we presented a single-sample-based computational method to detect the early-warning signal of critical transition during the progression of complex diseases. Specifically, given a set of reference samples which were regarded as background, a novel index called single-s

SUBMITTER: Zhong J 

PROVIDER: S-EPMC6988219 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature