Journal of Guangxi Normal University(Natural Science Edition) ›› 2012, Vol. 30 ›› Issue (3): 109-112.

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Mining the Glioblastoma Data from the Cancer Genome Atlas

YAN Xiao-wei1,2, TIAN Qiang1, ZHANG Shi-chao2   

  1. 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

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

CLC Number: 

  • TP18
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