| DNA language models are powerful predictors of genome-wide variant effects G Benegas, SS Batra, YS Song Proceedings of the National Academy of Sciences 120 (44), e2311219120, 2023 | 33* | 2023 |
| Robust and annotation-free analysis of alternative splicing across diverse cell types in mice G Benegas, J Fischer, YS Song Elife 11, e73520, 2022 | 14* | 2022 |
| GPN-MSA: an alignment-based DNA language model for genome-wide variant effect prediction G Benegas, C Albors, AJ Aw, C Ye, YS Song bioRxiv, 2023 | 4 | 2023 |
| choros: correction of sequence-based biases for accurate quantification of ribosome profiling data A Mok, R Tunney, G Benegas, EWJ Wallace, LF Lareau bioRxiv, 2023 | 1 | 2023 |
| Suggested searches JP Kossin, HJ Kim, BK Lux, E Lee, CW Woo, P Wang, J Ma, YC Kim, ... Perspective, 2024 | | 2024 |
| Suggested searches S Chatterjee, E Kon, D Peer, H Li, Y Sun, Y Yao, S Ke, N Zhang, W Xiong, ... Perspective, 2024 | | 2024 |
| Suggested searches CP Ryan, NR Lee, DB Carba, JL MacIsaac, DTS Lin, P Atashzay, ... Perspective, 2023 | | 2023 |
| Computational and Machine Learning Methods for Understanding Gene Regulation and Variant Effects GS Benegas UC Berkeley, 2023 | | 2023 |
| Bayesian Analysis of Transcriptional Dynamics G Benegas Universidad de Buenos Aires, 2018 | | 2018 |
