Search for miRNA and cancer associations
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Update: September 24, 2018
According to Google Scholar, By September 24th, 2018, our journal paper has been cited 217 times.
The latest miRCancer data are updated with:
Literatures from PubMed (queried on December 28, 2017)
miRNA from miRBase (Release 22)
miRCancer provides comprehensive collection of microRNA (miRNA) expression profiles in various human cancers which are automatically extracted from published literatures in PubMed. It utilizes text mining techniques for information collection. Manual revision is applied after auto-extraction to provide 100% precision.
User can search the database by miRNA and/or cancer names in the miRCancer Search page. Our website also provides two 202-651-6524 tools: clustering and chi-square analysis which can perform analysis on all or selected pool of miRNA sequences.
If you make use of the information presented here, please cite the following references:
Text Mining on Big and Complex Biomedical Literature, in Big Data Analytics in Bioinformatics and Healthcare, IGI Global, in press.
Boya Xie; Qin Ding; Di Wu
miRCancer: a microRNA-cancer association database constructed by text mining on literature
Boya Xie; Qin Ding; Hongjin Han; Di Wu
Bioinformatics, Vol. 29, Issue 5, pp.638-644, 2013
MIRSAT & MIRCDB: An Integrated microRNA Sequence Analysis Tool and a Cancer-associated microRNA Database
Boya Xie; Robert Hochberg; Qin Ding; Di Wu
International Conference on Bioinformatics and Computational Biology, Honolulu, Hawaii, 2010, pp. 159-164.
The data contained in miRCancer database is for academic research purpose only. In no event shall any member of the miRCancer research team be liable to any party for direct, indirect, special, incidental, or consequential damages arising out of the use of the miRCancer database.
miRCancer is provided "as is" without warranty of any kind.