Articles in journals or magazines
M. Jagota, C. Ye, C. Albors, R. Rastogi, K. Antoine, N. Ioannidis, and Y. S. Song, "Cross-protein transfer learning substantially improves disease variant prediction ," Genome Biology , vol. 24, no. 182, Aug. 2023.
Masters Reports
A. Muslim and N. Ioannidis, "STraP: Self-Training for Proteins ," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2023-110, May 2023.
C. Huang, "Performance and comparison of current sequence-based models on individual gene expression prediction ," N. Ioannidis, Ed., EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2023-83, May 2023.
P. Baokar, "Evaluating the use of sequence-to-expression predictors for personalized expression prediction ," N. Ioannidis, Ed., EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2022-120, May 2022.