使用BioRank优先考虑癌症治疗基因:一个生物信息的PageRank框架
Duc-Tinh Pham1, Huu-Tam Nguyen2, Van-Hai Pham2
1School of Information and Communications Technology, Hanoi University of Industry, 298 Cau Dien street, Bac Tu Liem District, Hanoi, Viet nam.
Computational and structural biotechnology journal
|October 27, 2025
概括
生物排名是一种新的方法,通过结合基因表达,功能和网络数据来优先考虑潜在的癌症药物标. 它在识别癌症研究中重要的治疗基因方面优于现有的方法.
科学领域:
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
- 癌症基因组学 癌症基因组学
背景情况:
- 鉴定治疗点基因在癌症研究中至关重要,但由于生物复杂性和数据异质性,具有挑战性.
- 现有的方法往往难以有效地整合各种生物数据,以准确的基因优先级.
研究的目的:
- 引入BioRank,一种创新的基因优先级方法,旨在增强癌症治疗点基因的识别.
- 通过整合多omics数据和生物网络信息来改进传统的算法.
主要方法:
- 生物排名扩展了PageRank算法,结合了一个定制的向量合成差异基因表达,基因本体学 (GO),KEGG,Reactome注释和共同表达相似性.
- 在七种癌症类型中使用癌症基因组图谱 (TCGA) 的RNA测序数据和HIPPIE蛋白质-蛋白质相互作用网络进行了验证.
主要成果:
- 生物排名有效地识别和优先考虑治疗目标基因,与现有方法相比,显示出优越的预测性能.
- 对比分析显示,BioRank在识别已知的目标 (OncoKB) 和改进Recall@和nDCG@指标方面提高了准确性.
结论:
- 生物排名 (BioRank) 作为一种强大的研究工具,用于在癌症治疗中产生假设.
- 它使研究人员能够优先考虑候选基因进行验证,并发现新的,未经探索的治疗点.
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