Publication

Tung  Dang, Artem Lysenko, Keith A Boroevich, and Tatsuhiko Tsunoda. (2025). 

VBayesMM: variational Bayesian neural network to prioritize important relationships of high-dimensional microbiome multiomics data 

Briefings in Bioinformatics, 26(4), bbaf300. 2025 Impact Factor: 8.7 (2 out of 67 in Mathematical & Computational Biology (Clarivate))
Press Release (English): https://www.u-tokyo.ac.jp/focus/en/press/z0508_00417.html 
Press Release (Japanese): https://www.s.u-tokyo.ac.jp/ja/press/10840/  

Tung  Dang, Yushiro Fuji, Kie Kumaishi, Erika Usui, Shungo Kobori, Takumi Sato, Yusuke Toda, Kengo Sakurai, Yuji Yamasaki, Hisashi Tsujimoto, Masami Yokota Hirai, Yasunori Ichihashi, and Hiroyoshi Iwata. (2025). 

I-SVVS: integrative stochastic variational variable selection to explore joint patterns of multi-omics microbiome data. 

Briefings in Bioinformatics, 26(3), bbaf132. 2025 Impact Factor: 8.7 (2 out of 67 in Mathematical & Computational Biology (Clarivate))
Press Release: https://www.a.u-tokyo.ac.jp/topics/topics_20250530-1.html  

Tung  Dang, Kie Kumaishi, Erika Usui, Shungo Kobori, Takumi Sato, Yusuke Toda, Yuji Yamasaki, Hisashi Tsujimoto, Yasunori Ichihashi, and Hiroyoshi Iwata. (2022). 

Stochastic variational variable selection for high-dimensional microbiome data. 

Microbiome 10, 236. 2022 Impact Factor: 16.837 (7 out of 135 in Microbiology  (Clarivate))

Tung  Dang and Hirohisa Kishino. (2019). 

Stochastic variational inference for Bayesian phylogenetics: A case of CAT model. 

Molecular Biology and Evolution.  2019 Impact Factor: 14.797 (2 out of 49 in Evolutionary Biology (Clarivate))