论文信息 - DTMBIO 2016: The Tenth International Workshop on Data and Text Mining in Biomedical Informatics

DTMBIO 2016: The Tenth International Workshop on Data and Text Mining in Biomedical Informatics

Started in 2006 as a specialized workshop in the field of text mining applied to biomedical informatics, DTMBIO (ACM international workshop on Data and Text Mining in Biomedical Informatics) has been held annually in conjunction with one of the largest data management conferences, CIKM, bringing together researchers working on computer science and bioinformatics area. The purpose of DTMBIO is to foster discussions regarding the state-of-the-art applications of data and text mining on biomedical research problems. DTMBIO 2016 will help scientists navigate emerging trends and opportunities in the evolving area of informatics related techniques and problems in the context of biomedical research.

Doheon Lee | Vincenzo Cutello | Sangwoo Kim | Jake Yue Chen

[1] Satoshi Tsutsui. Machine Reading Approach to Understand Alzheimer ’ s Disease Literature , 2016 .

[2] Hyunju Lee,et al. In silico re-identification of properties of drug target proteins , 2017, BMC Bioinformatics.

[3] Hojung Nam,et al. Prediction models for drug-induced hepatotoxicity by using weighted molecular fingerprints , 2017, BMC Bioinformatics.

[4] Mark Stevenson,et al. Quantifying and filtering knowledge generated by literature based discovery , 2017, BMC Bioinformatics.

[5] Seungchan Kim,et al. Contextualization of drug-mediator relations using evidence networks , 2017, BMC Bioinformatics.

[6] Jeff Kiefer,et al. Contextualization of Drug-Mediator Relations Using Public Knowledge-bases , 2016 .

[7] James M. Hogan,et al. Distributed Representations for Biological Sequence Analysis , 2016, ArXiv.