LCE: an open web portal to explore gene expression and clinical associations in lung cancer
LCE: an open web portal to explore gene expression and clinical associations in lung cancer
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DOI：
10.1038/s41388-018-0588-2
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发表时间：
2019-04-04
期刊：
影响因子：
8
通讯作者：
Xie, Yang
中科院分区：
文献类型：
--
作者：
Cai, Ling;Lin, ShinYi;Xie, Yang
我们构建了一个肺癌特异性数据库，其中包含 56 项研究中 6700 多名患者的表达数据和临床数据。来自 23 个全基因组平台的表达数据经过仔细处理和质量控制，而临床数据则经过标准化和严格管理。借助该肺癌数据库，我们创建了一个开放访问的网络资源 - Lung Cancer Explorer (LCE)，它使研究人员和临床医生能够探索这些数据并进行分析。用户可以对 LCE 进行荟萃分析，以快速概览肿瘤与非恶性组织（正常）差异基因表达以及表达与生存关联的结果。还提供基于个体数据集的生存分析、比较分析和相关性分析，以及灵活的选项，以允许用户进行定制分析。
We constructed a lung cancer-specific database housing expression data and clinical data from over 6700 patients in 56 studies. Expression data from 23 genome-wide platforms were carefully processed and quality controlled, whereas clinical data were standardized and rigorously curated. Empowered by this lung cancer database, we created an open access web resource-the Lung Cancer Explorer (LCE), which enables researchers and clinicians to explore these data and perform analyses. Users can perform meta-analyses on LCE to gain a quick overview of the results on tumor vs non-malignant tissue (normal) differential gene expression and expression-survival association. Individual dataset-based survival analysis, comparative analysis, and correlation analysis are also provided with flexible options to allow for customized analyses from the user.