计算机应用研究2024，Vol.41Issue(6)：1728-1734,7.DOI:10.19734/j.issn.1001-3695.2023.10.0497
一种二进制癌症单驱动通路识别模型和算法
Binary cancer single-driver pathway identification model and algorithm
摘要
Abstract
The researches on driver pathway identification in cancer rely on traditional biological experiments,which have the drawbacks of being time-consuming,labor-intensive and costly.This paper proposed a novel binary cancer driver pathway identification method called PEA-BLMWS(parental evolutionary algorithm-binary linear maximum weight sub-matrix).Firstly,it utilized the existing gene expression data to uncovered potential gene mutation data by comparing the differences in expression levels between normal and mutated genes.Secondly,it incorporated protein-protein interaction network data to construct an im-proved binary linear maximum weight sub-matrix model.Finally,it proposed a parental evolutionary algorithm to solve this matrix model.Experimental results on the GBM(glioblastoma)and OVCA(ovarian cancer)datasets show that compared to other ad-vanced identification methods such as Dendrix,CCA-NMWS and CGP-NCM,the gene set identified by PEA-BLMWS has more genes enriched in known signaling pathways,and genes not enriched in signaling pathways are also closely related to the occur-rence of cancer.Therefore,this identification method can serve as an effective tool for driving pathway identification.关键词
驱动通路/基因突变/基因表达/进化算法Key words
driver pathway/gene mutation/gene expression/evolutionary algorithm分类
信息技术与安全科学引用本文复制引用
张奕,鲁贺..一种二进制癌症单驱动通路识别模型和算法[J].计算机应用研究,2024,41(6):1728-1734,7.基金项目
国家自然科学基金资助项目(62166014,62162019) （62166014,62162019）
广西自然科学基金面上项目(2020GXNSFAA297255) （2020GXNSFAA297255）
