肿瘤基因图集(TCGA)中恶性胶质瘤数据的挖掘

广西师范大学学报（自然科学版） ›› 2012, Vol. 30 ›› Issue (3): 109-112.

肿瘤基因图集(TCGA)中恶性胶质瘤数据的挖掘

严小卫^1,2, 田强¹, 张师超²

1.美国系统生物研究所,401 Terry Ave N,Seattle,WA 98109,USA;
2.广西师范大学计算机科学与信息工程学院,广西桂林541004

收稿日期:2012-05-12 出版日期:2012-09-20 发布日期:2018-12-04
通讯作者: 严小卫(1961—),男,广东连州人,广西师范大学教授,博士。E-mail:Xiaowei.Yan@systemsbiology.org
作者简介:严小卫,男,1961年生,汉族,广西师范大学教授,2004年在澳大利亚悉尼理工大学获得博士学位。
基金资助:
国家863计划基金资助项目(SQ2011AAJY2742);澳大利亚ARC国家基金资助项目(DP0985456);国家自然科学基金资助项目(61170131);广西自然科学基金创新研究团队项目(2012jjGAG0001)

Mining the Glioblastoma Data from the Cancer Genome Atlas

YAN Xiao-wei^1,2, TIAN Qiang¹, ZHANG Shi-chao²

1.Institute for Systems Biology,401 Terry Ave N,Seattle,WA 98109,USA;
2.College of Computer Science and Information Technology,Guangxi Normal University,Guilin Guangxi 541004,China

Received:2012-05-12 Online:2012-09-20 Published:2018-12-04

摘要/Abstract

摘要： 本文以非肿瘤样本为参照物,采用甲基化数据的距离相关性将病人分成两类,并分析和比较这两类病人,得到了一些潜在有意义的结论。

关键词: 恶性胶质瘤, 数据挖掘, 甲基化

Abstract: With non-tumor samples as the reference,the GBM patients were classified into two classes by using the distance correlation of methylation data from The Cancer Genome Atlas (TCGA).Then,these two classesof patients were compared and some potentially significant results were obtained.

Key words: Glioblastoma, data mining, methylation

中图分类号:

TP18

严小卫, 田强, 张师超. 肿瘤基因图集(TCGA)中恶性胶质瘤数据的挖掘[J]. 广西师范大学学报（自然科学版）, 2012, 30(3): 109-112.

YAN Xiao-wei, TIAN Qiang, ZHANG Shi-chao. Mining the Glioblastoma Data from the Cancer Genome Atlas[J]. Journal of Guangxi Normal University(Natural Science Edition), 2012, 30(3): 109-112.

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