Gene expression ranking change based single sample pre-disease state detection.

ABSTRACT:

Introduction

To prevent disease, it is of great importance to detect the critical point (pre-disease state) when the biological system abruptly transforms from normal to disease state. However, rapid and accurate pre-disease state detection is still a challenge when there is only a single sample available. The state transition of the biological system is driven by the variation in regulations between genes.

Methods

In this study, we propose a rapid single-sample pre-disease state-identifying method based on the change in gene expression ranking, which can reflect the coordinated shifts between genes, that is, S-PCR. The R codes of S-PCR can be accessed at https://github.com/ZhenshenBao/S-PCR.

Results

This model-free method is validated by the successful identification

SUBMITTER: Bao Z 

PROVIDER: S-EPMC11652538 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature