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结合主成分与独立成分分析识别胃癌相关差异表达基因的方法研究 被引量：2

Identification of Gastric Cancer-related Differentially Expressed Genes by Combining PCA and ICA
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摘要 筛选潜在的差异表达基因能够帮助人们了解基因的功能及基因在疾病发生发展中的作用。由于主成分与独立成分分析的侧重点不同,因此,结合两种方法发展了一种识别胃癌相关差异表达基因新方法,以提高结果的准确度和可信度。从包含7129个基因和29个样本的胃癌基因表达谱数据中,新方法识别了16个与胃癌发生发展显著相关的差异表达基因,这些基因被认为值得进一步开展实验研究。研究结果对揭示胃癌发生与发展机制具有促进作用。 Screening potential differentially expressed genes can help us to understand the functions of the genes and their roles in disease development. Due to the different emphases of the principal component analysis and independent component analysis, a novel method that combines principal component analysis and independent component analysis is proposed to identify differentially expressed genes associated with gastric cancer for the improvement of accuracy and credibility of results. This method screens out 16 differentially expressed genes which is significantly related to the occurrence and development of gastric cancer from gastric cancer gene expression data with 7129 genes and 29 samples. These genes are worthy to be studied experimentally. The results of this paper are helpful for revealing the occurrence and development mechanism of gastric cancer.
作者 陈战雷 李博宇 李益 饶妮妮
机构地区 电子科技大学生命科学与技术学院
出处 《生物医学工程学杂志》 EI CAS CSCD 北大核心 2013年第5期914-918,931,共6页 Journal of Biomedical Engineering
基金 四川省科技支撑计划项目(2011FZ0034) 国家自然科学基金资助项目资助(81171411)
关键词 胃癌 基因表达数据 差异表达基因 主成分分析 独立成分分析 Gastric cancer Gene expression data Differentially expressed genes Principal component analysis（PCA） Independent component analysis （ICA）
分类号 R735.2 [医药卫生—肿瘤]
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共引文献7

同被引文献22

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生物医学工程学杂志
2013年 第5期

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