一种基于失调调控关系的个性化病前状态识别方法
By calculating the strength and change fraction of regulatory relationships, we can identify dysregulatory markers related to the pre-disease state, thus solving the inconsistency problem in identifying the pre-disease state at the individual level and improving the accuracy and computational efficiency of identifying the pre-disease state.
CN115691674BActive Publication Date: 2026-07-17GUANGZHOU UNIVERSITY
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GUANGZHOU UNIVERSITY
- Filing Date
- 2022-09-28
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Existing technologies struggle to efficiently identify the pre-disease state at the individual level, and the markers of the pre-disease state differ between individuals, resulting in scarce clinical data and complex calculations.
Method used
By calculating the intensity and change score of regulatory relationships at each time point, we can identify dysregulatory biomarkers related to the pre-disease state. Using systems biology theory, we can screen out fixed biomarkers and identify the individual's pre-disease state based on these biomarkers.
Benefits of technology
It achieves high accuracy in identifying the pre-disease state of individuals with the same disease, and the calculation is simple, fast, and convenient for clinical application.
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Figure CN115691674B_ABST
Abstract
本发明属于生物信息学领域，公开了一种基于失调调控关系的个性化病前状态识别方法，包括以下步骤：S1：计算每个时间点调控关系的调控强度；S2：计算调控关系每个时间点调控强度的变化分数；S3：计算每个时间点个体的调控变化分数；S4：确定特定疾病病前状态相关失调调控标志物；S5：基于疾病病前状态相关失调调控标志物识别疾病病前状态。本发明提供的技术方案在识别疾病病前状态方面有很高的精度，可以确定一组特定疾病固定的失调调控关系标志物，具有临床实施意义；计算过程简单，计算耗时少。
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