Student Presentations

CSI 5180 - Machine Learning for Bioinformatics

Student Presentation

Students	Paper	DOI
Patricia Huang, Alan Zou	Duan et al. (2024)	10.1016/j.compbiomed.2024.107943
Mahyar Sadeghi Garjan	Bengio et al. (2021)	10.5555/3540261.3542358
Amirhossein Ebrahimi, Hoda Vaf	Celikkanat, Masegosa, and Nielsen (2024)	10.48550/arXiv.2411.02125

References

Bengio, Emmanuel, Moksh Jain, Maksym Korablyov, Doina Precup, and Yoshua Bengio. 2021. “Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation.” Red Hook, NY, USA: Curran Associates Inc.

Celikkanat, Abdulkadir, Andres R Masegosa, and Thomas Dyhre Nielsen. 2024. “Revisiting k-Mer Profile for Effective and Scalable Genome Representation Learning.” In The Thirty-Eighth Annual Conference on Neural Information Processing Systems, 37:118930–52. https://openreview.net/forum?id=Ehsd856Ltb.

Duan, Hao, Yu Zhang, Haoye Qiu, Xiuhao Fu, Chunling Liu, Xiaofeng Zang, Anqi Xu, et al. 2024. “Machine learning-based prediction model for distant metastasis of breast cancer.” Computers in Biology and Medicine 169: 107943. https://doi.org/10.1016/j.compbiomed.2024.107943.