| DeepVelo: Single-cell Transcriptomic Deep Velocity Field Learning with Neural Ordinary Differential Equations Z Chen, WC King, A Hwang, M Gerstein, J Zhang Science Advances, 2022 | 37 | 2022 |
| The EN-TEx resource of multi-tissue personal epigenomes & variant-impact models J Rozowsky, J Gao, B Borsari, YT Yang, T Galeev, G Gürsoy, CB Epstein, ... Cell 186 (7), 1493-1511. e40, 2023 | 29* | 2023 |
| Lunarnav: Crater-based localization for long-range autonomous lunar rover navigation S Daftry, Z Chen, Y Cheng, S Tepsuporn, S Khattak, L Matthies, B Coltin, ... 2023 IEEE Aerospace Conference, 1-15, 2023 | 11 | 2023 |
| DiNeR: a Differential graphical model for analysis of co-regulation Network Rewiring J Zhang, J Liu, D Lee, S Lou, Z Chen, G Gürsoy, M Gerstein BMC bioinformatics 21, 1-15, 2020 | 11 | 2020 |
| DECODE: a Deep-learning framework for Condensing enhancers and refining boundaries with large-scale functional assays Z Chen, J Zhang, J Liu, Y Dai, D Lee, MR Min, M Xu, M Gerstein Bioinformatics 37 (Supplement_1), i280–i288, 2021 | 9 | 2021 |
| SCAN-ATAC-Sim: a scalable and efficient method for simulating single-cell ATAC-seq data from bulk-tissue experiments Z Chen, J Zhang, J Liu, Z Zhang, J Zhu, D Lee, M Xu, M Gerstein Bioinformatics 37 (12), 1756-1758, 2021 | 9 | 2021 |
| Forest Fire Clustering for single-cell sequencing combines iterative label propagation with parallelized Monte Carlo simulations Z Chen, J Goldwasser, P Tuckman, J Zhang, M Gerstein Nature Communications, 2022 | 8 | 2022 |
| Machine learning for planetary rovers M Ono, B Rothrock, Y Iwashita, S Higa, V Timmaraju, S Sahnoune, D Qiu, ... Machine Learning for Planetary Science, 169-191, 2022 | 3 | 2022 |
| SULU: Scalable and Distributed Machine Learning Framework with Unified Encoder for Mars Rover Missions Z Chen , S Daftry , A Didier , D Atha , M Swan, C Mattman, M Ono i-SAIRAS, 2020 | | 2020 |
