EPISODE · Apr 30, 2026 · 18 MIN
880-多组学通路分析集成方法综合综述
from 聊聊Sci
这篇文章系统性地评估了32种用于多组学数据整合的通路分析方法。作者们将现有技术划分为基于P值的基因级整合、通路级整合、图形转换以及机器学习四大类别，并深入探讨了各方法的理论假设与技术局限。文章详细阐述了从数据预处理、标识符映射到最终结果可视化的完整工作流程。通过六项核心指标的量化评分，该综述为生命科学研究者提供了选择合适分析工具的权威指南。此外，作者还指出了数据异质性和通路数据库不统一等领域内面临的关键挑战。总之，这篇文献为理解如何通过整合多源生物数据来揭示复杂疾病的生物学机制提供了全面的参考框架。References: Maghsoudi Z, Nguyen H, Tavakkoli A, et al. A comprehensive survey of the approaches for pathway analysis using multi-omics data integration[J]. Briefings in Bioinformatics, 2022, 23(6): bbac435.前往小宇宙评论区与主播互动
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