Detect the early-warning signals of diseases based on signaling pathway perturbations on a single sample.

ABSTRACT:

Background

During the pathogenesisof complex diseases, a sudden health deterioration will occur as results of the cumulative effect of various internal or external factors. The prediction of an early warning signal (pre-disease state) before such deterioration is very important in clinical practice, especially for a single sample. The single-sample landscape entropy (SLE) was proposed to tackle this issue. However, the PPI used in SLE was lack of definite biological meanings. Besides, the calculation of multiple correlations based on limited reference samples in SLE is time-consuming and suspect.

Results

Abnormal signals generally exert their effect through the static definite biological functions in signaling pathways across the development of diseases. Thus, it is a natura

SUBMITTER: Huo Y 

PROVIDER: S-EPMC8772045 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature