低级别胶质瘤与胶质母细胞瘤中lncRNA的表达：一项计算机分析

资源简介

低级别胶质瘤与胶质母细胞瘤中lncRNA的表达：一项计算机分析

【数据集背景】

本数据集源站标题为《Expression of lncRNAs in Low-Grade Gliomas and Glioblastoma Multiforme: An In Silico Analysis》。配套论文《Expression of lncRNAs in Low-Grade Gliomas and Glioblastoma Multiforme: An In Silico Analysis》发表于 PLOS Medicine（2016），DOI：10.1371/journal.pmed.1002192。源站首次发布：2016-12-06。

【数据内容】

源站原始描述：Background Each year, over 16,000 patients die from malignant brain cancer in the US. Long noncoding RNAs (lncRNAs) have recently been shown to play critical roles in regulating neurogenesis and brain tumor progression. To better understand the role of lncRNAs in brain cancer, we performed a global analysis to identify and characterize all annotated and novel lncRNAs in both grade II and III gliomas as well as grade IV glioblastomas (glioblastoma multiforme [GBM]). Methods and Findings We determ…

【数据结构与技术规格】

文件数 13 个，合计 19.51 MB。S1 Fig.tiff：image/tiff，3.69 MB。S2 Fig.tiff：image/tiff，3.69 MB。S3 Fig.tiff：image/tiff，3.69 MB。数据集 DOI：10.1371/journal.pmed.1002192。

【主题与分类】

源站学科分类：Medicine、Cell Biology、Genetics、Molecular Biology、Neuroscience、Biological Sciences not elsewhere classified。主题标签：brain tumor progression、brain cancer、lncRNA、Long noncoding RNAs、HR、GBM、multivariate Cox regression survival model、TCGA、survival algorithm、Silico Analysis Background。

【适用方向】

源站学科分类标注为 Medicine、Cell Biology、Genetics、Molecular Biology、Neuroscience、Biological Sciences not elsewhere classified。

【获取与许可】

源站页面：https://plos.figshare.com/articles/dataset/Expression_of_lncRNAs_in_Low-Grade_Gliomas_and_Glioblastoma_Multiforme_An_In_Silico_Analysis/4291787

使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。

规范引用：J. Reon, Brian; Anaya, Jordan; Zhang, Ying; Mandell, James; Purow, Benjamin; Abounader, Roger; et al. (2016). Expression of lncRNAs in Low-Grade Gliomas and Glioblastoma Multiforme: An In Silico Analysis. PLOS Medicine. Dataset

【使用注意】

· 源站最后修改于 2023-06-03，引用时请注意版本时效。