Student Presentations

CSI 5180 - Machine Learning for Bioinformatics

Student Presentation

Students	Paper	DOI
Maram El-Azouni & Rebecca Tobin	Bidoki et al. (2023)	DOI
Peizhou Zhang & Qilin Wu	Ryu et al. (2021)	DOI
Geet Choudhari	Wang et al. (2024)	DOI

References

Bidoki, Neda H., Kristy A. Zera, Huda Nassar, Lauren L. Drag, Michael Mlynash, Elizabeth Osborn, Muhith Musabbir, et al. 2023. “Machine learning models of plasma proteomic data predict mood in chronic stroke and tie it to aberrant peripheral immune responses.” Brain, Behavior, and Immunity 114: 144–53. https://doi.org/10.1016/j.bbi.2023.08.002.

Ryu, Jae Yong, Jeong Hyun Lee, Byung Ho Lee, Jin Sook Song, Sunjoo Ahn, and Kwang-Seok Oh. 2021. “PredMS: a random forest model for predicting metabolic stability of drug candidates in human liver microsomes.” Bioinformatics 38 (2): 364–68. https://doi.org/10.1093/bioinformatics/btab547.

Wang, Hongchao, Yutao Chen, Ling Feng, Shourong Lu, Jinlin Zhu, Jianxin Zhao, Hao Zhang, Wei Chen, and Wenwei Lu. 2024. “A gut aging clock using microbiome multi-view profiles is associated with health and frail risk.” Gut Microbes 16 (1): 2297852. https://doi.org/10.1080/19490976.2023.2297852.