MultiVI: deep generative model for the integration of multimodal data T Ashuach, MI Gabitto, RV Koodli, GA Saldi, MI Jordan, N Yosef Nature Methods 20 (8), 1222-1231, 2023 | 84 | 2023 |
Geometric deep learning for structure-based ligand design AS Powers, HH Yu, P Suriana, RV Koodli, T Lu, JM Paggi, RO Dror ACS Central Science, 2023 | 29* | 2023 |
EternaBrain: Automated RNA design through move sets and strategies from an Internet-scale RNA videogame RV Koodli, B Keep, KR Coppess, F Portela, Eterna participants, R Das PLoS computational biology 15 (6), e1007059, 2019 | 23 | 2019 |
Redesigning the Eterna100 for the Vienna 2 folding engine RV Koodli, B Rudolfs, HK Wayment-Steele, ES Designers, R Das bioRxiv, 2021 | 10 | 2021 |
PolyVI: Deep Generative Models for Gene Expression, Chromatin Accessibility, and Surface Protein Expression Data R Koodli EECS Department, University of California, Berkeley, 2022 | | 2022 |
On the robustness of mixture model-based unsupervised learning in single-cell analyses R Koodli 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017 | | 2017 |