Abstract:
: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.
journal_name
Oncogenejournal_title
Oncogeneauthors
Cai L,Lin S,Girard L,Zhou Y,Yang L,Ci B,Zhou Q,Luo D,Yao B,Tang H,Allen J,Huffman K,Gazdar A,Heymach J,Wistuba I,Xiao G,Minna J,Xie Ydoi
10.1038/s41388-018-0588-2subject
Has Abstractpub_date
2019-04-01 00:00:00pages
2551-2564issue
14eissn
0950-9232issn
1476-5594pii
10.1038/s41388-018-0588-2journal_volume
38pub_type
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