| Literature DB >> 29790900 |
Chun-Jie Liu1, Fei-Fei Hu1, Meng-Xuan Xia1, Leng Han2, Qiong Zhang1, An-Yuan Guo1.
Abstract
Summary: The availability of cancer genomic data makes it possible to analyze genes related to cancer. Cancer is usually the result of a set of genes and the signal of a single gene could be covered by background noise. Here, we present a web server named Gene Set Cancer Analysis (GSCALite) to analyze a set of genes in cancers with the following functional modules. (i) Differential expression in tumor versus normal, and the survival analysis; (ii) Genomic variations and their survival analysis; (iii) Gene expression associated cancer pathway activity; (iv) miRNA regulatory network for genes; (v) Drug sensitivity for genes; (vi) Normal tissue expression and eQTL for genes. GSCALite is a user-friendly web server for dynamic analysis and visualization of gene set in cancer and drug sensitivity correlation, which will be of broad utilities to cancer researchers. Availability and implementation: GSCALite is available on http://bioinfo.life.hust.edu.cn/web/GSCALite/. Supplementary information: Supplementary data are available at Bioinformatics online.Entities:
Mesh:
Year: 2018 PMID: 29790900 DOI: 10.1093/bioinformatics/bty411
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937