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.
CITATION STYLE
Yan, D., Qin, S., Bhattacharya, D., Chen, J., & Zaki, M. J. (2021). 20th International Workshop on Data Mining in Bioinformatics (BIOKDD 2021). In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 4175–4176). Association for Computing Machinery. https://doi.org/10.1145/3447548.3469442
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