TIMER: A web server for comprehensive analysis of tumor-infiltrating immune cells
By Taiwen Li, Jingyu Fan, Binbin Wang, Nicole Traugh, Qianming Chen, Jun S. Liu, Bo Li, X. Liu. Cancer Research, 2017
4,883 citations recorded by the source corpus.
Recent clinical successes of cancer immunotherapy necessitate the investigation of the interaction between malignant cells and the host immune system. However, elucidation of complex tumor-immune interactions presents major computational and experimental challenges. Here we present Tumor Immune Estimation Resource (TIMER, cistrome.shinyapps.io/timer) to comprehensively investigate molecular characterization of tumor-immune interactions. Levels of six tumor-infiltrating immune subsets are pre-calculated for 10,897 tumors from 32 cancer types. TIMER provides 6 major analytic modules that allow users to interactively explore the associations between immune infiltrates and a wide-spectrum of factors, including gene expression, clinical outcomes, somatic mutations, and somatic copy number alterations. TIMER provides a user-friendly web interface for dynamic analysis and visualization of these associations, which will be of broad utilities to cancer researchers.
Subfields: Immunology, Oncology
View Paper: https://www.semanticscholar.org/paper/456ecf4f1845c0058c42264748e8677cddff8eec
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Taiwen Li
- Jingxin Fu
- Zexian Zeng
- David Cohen
- Qianming Chen
- Jing Li
- Xiaole Shirley Liu
- Bo Li
Citations in the corpus
- TIMER2.0 for analysis of tumor-infiltrating immune cells (2020, methodology): “This motivated us to improve TIMER, a web server that we developed previously (14).”