20th International Workshop on Data Mining in Bioinformatics (BIOKDD 2021)
20th International Workshop on Data Mining in Bioinformatics (BIOKDD 2021)
复制标题
第二十届生物信息学数据挖掘国际研讨会 (BIOKDD 2021)
DOI：
10.1145/3447548.3469442
复制
发表时间：
2021
期刊：
影响因子：
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通讯作者：
Zaki, Mohammed J.
中科院分区：
文献类型：
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作者：
Yan, Da;Qin, Steve;Bhattacharya, Debswapna;Chen, Jake;Zaki, Mohammed J.
第20届生物信息学数据挖掘国际研讨会（BIOKDD 2021）的目标是鼓励KDD研究人员使用数据挖掘技术解决生物信息学中的众多问题和挑战。基于组织者的专业知识和BIOKDD社区，BIOKDD 2021的主题是“医学中的人工智能”。本主题侧重于使用机器学习和数据挖掘技术分析大量异构，复杂的生物和医学数据，特别关注在生物信息学中快速发展和广泛采用的深度学习方法（例如，DeepVariant，AlphaFold 2）。我们亦特别欢迎COVID-19相关研究。其主要目标是加速数据挖掘和生物信息学社区之间的融合，以加快基础生物学，医学和医疗保健的发现。
The goal of the 20th International Workshop on Data Mining in Bioinformatics (BIOKDD 2021) is to encourage KDD researchers to tackle the numerous problems and challenges in Bioinformatics using Data Mining technologies. Based on the organizers' expertise and the BIOKDD communities, BIOKDD 2021 features the theme of "Artificial Intelligence in Medicine". This topic focuses on the use of machine learning and data mining techniques for the analysis of large amounts of heterogeneous, complex, biological and medical data, with a particular focus on deep learning methods that have seen rapid advance and wider adoption in Bioinformatics (e.g., DeepVariant, AlphaFold 2). We also particularly welcome COVID-19 related research. The key goal is to accelerate the convergence between Data Mining and Bioinformatics communities to expedite discoveries in basic biology, medicine and healthcare.