miRCancer: a microRNA-cancer association database constructed by text mining on literature
By Boya Xie, Qin Ding, Hongjing Han, Di Wu. Bioinform., 2013
539 citations recorded by the source corpus.
Subfields: Cancer Research, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/61c23c5d62c3b842ae1ac5ef0722378b7c9a69f2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Shangwei Ning
- Chih-Hung Chou
- Jizhou Zhang
- Peng Wang
- Hui Zhi
- S. Shrestha
- Jianjian Wang
- Yue Liu
Citations in the corpus
- Colorectal Carcinoma: A General Overview and Future Perspectives in Colorectal Cancer (2017, methodology): “0 [1,2] and miRCancer: a microRNA-cancer association database [3–5] and the results obtained were corroborated by a literature search in PubMed.”
- Lnc2Cancer: a manually curated database of experimentally supported lncRNAs associated with various human cancers (2015, background): “For example, COSMIC (23) collects cancer genes and mutations, MethyCancer (24) and PubMeth (25) aim to investigate DNA methylation in cancer, and miRCancer (26) provides literature-supported microRNA and cancer associations; however, no resource is currently devoted to collecting the latest and expe”
- miRTarBase 2016: updates to the experimentally validated miRNA-target interactions database (2015, methodology): “…disease information that was curated by our group, miRTarBase integrates the data of HMDD version 2.0, miR2Disease, ExcellmiRDB (42) and miRCancer (43), to provide extensive information that concerns experimentally validated miRNA-associated diseases and the relationship between miRNA-target…”
- MicroRNAs and complex diseases: from experimental results to computational models (2019, unknown): “edu/) [189] MiRCancer is a miRNA–cancer association database, which”