CPMI: comprehensive neighborhood-based perturbed mutual information for identifying critical states of complex biological processes.

ABSTRACT:

Background

There exists a critical transition or tipping point during the complex biological process. Such critical transition is usually accompanied by the catastrophic consequences. Therefore, hunting for the tipping point or critical state is of significant importance to prevent or delay the occurrence of catastrophic consequences. However, predicting critical state based on the high-dimensional small sample data is a difficult problem, especially for single-cell expression data.

Results

In this study, we propose the comprehensive neighbourhood-based perturbed mutual information (CPMI) method to detect the critical states of complex biological processes. The CPMI method takes into account the relationship between genes and neighbours, so as to reduce the noise and enhance

SUBMITTER: Ren J 

PROVIDER: S-EPMC11180411 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature