The International Conference on Intelligent Biology and Medicine 2019: computational methods for drug interactions

被引：0
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作者：
Xia Ning
Chi Zhang
Kai Wang
Zhongming Zhao
Ewy Mathé
机构：
[1] The Ohio State University,Department of Biomedical Informatics, College of Medicine
[2] Indiana University,Department of Medical & Molecular Genetics, School of Medicine
[3] Children’s Hospital of Philadelphia,Raymond G. Perelman Center for Cellular and Molecular Therapeutics
[4] The University of Texas Health Science Center at Houston,Center for Precision Health, School of Biomedical Informatics
[5] The University of Texas Health Science Center at Houston,Human Genetics Center, School of Public Health
来源：
BMC Medical Informatics and Decision Making | / 20卷
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摘要：
In this editorial, we briefly summarize the International Conference on Intelligent Biology and Medicine 2019 (ICIBM 2019) that was held on June 9–11, 2019 at Columbus, Ohio, USA. Then, we introduce the two research articles included in this supplement issue. These two research articles were selected after careful review of 105 articles that were submitted to the conference, and cover topics on deep learning for drug-target interaction prediction and data mining and visualization of high-order drug-drug interactions.
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