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  • 标题:The REMBRANDT study, a large collection of genomic data from brain cancer patients
  • 本地全文:下载
  • 作者:Yuriy Gusev ; Krithika Bhuvaneshwar ; Lei Song
  • 期刊名称:Scientific Data
  • 电子版ISSN:2052-4463
  • 出版年度:2018
  • 卷号:5
  • DOI:10.1038/sdata.2018.158
  • 语种:English
  • 出版社:Nature Publishing Group
  • 摘要:The Rembrandt brain cancer dataset includes 671 patients collected from 14 contributing institutions from 2004鈥?006. It is accessible for conducting clinical translational research using the open access Georgetown Database of Cancer (G-DOC) platform. In addition, the raw and processed genomics and transcriptomics data have also been made available via the public NCBI GEO repository as a super series GSE108476. Such combined datasets would provide researchers with a unique opportunity to conduct integrative analysis of gene expression and copy number changes in patients alongside clinical outcomes (overall survival) using this large brain cancer study.
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