| On the opportunities and risks of foundation models R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2021 | 4513 | 2021 |
| Therapeutics data commons: Machine learning datasets and tasks for drug discovery and development K Huang, T Fu, W Gao, Y Zhao, Y Roohani, J Leskovec, CW Coley, ... arXiv preprint arXiv:2102.09548, 2021 | 303 | 2021 |
| Predicting transcriptional outcomes of novel multigene perturbations with GEARS Y Roohani, K Huang, J Leskovec Nature Biotechnology, 1-9, 2023 | 140* | 2023 |
| Artificial intelligence foundation for therapeutic science K Huang, T Fu, W Gao, Y Zhao, Y Roohani, J Leskovec, CW Coley, ... Nature chemical biology 18 (10), 1033-1036, 2022 | 124 | 2022 |
| Enhanced point‐of‐care ultrasound applications by integrating automated feature‐learning systems using deep learning H Shokoohi, MA LeSaux, YH Roohani, A Liteplo, C Huang, M Blaivas Journal of ultrasound in medicine 38 (7), 1887-1897, 2019 | 68 | 2019 |
| Toward universal cell embeddings: integrating single-cell RNA-seq datasets across species with SATURN Y Rosen, M Brbić, Y Roohani, K Swanson, Z Li, J Leskovec Nature Methods, 1-9, 2024 | 34 | 2024 |
| Universal cell embeddings: A foundation model for cell biology Y Rosen, Y Roohani, A Agarwal, L Samotorčan, ... bioRxiv, 2023.11. 28.568918, 2023 | 30 | 2023 |
| Causalbench: A large-scale benchmark for network inference from single-cell perturbation data M Chevalley, Y Roohani, A Mehrjou, J Leskovec, P Schwab arXiv preprint arXiv:2210.17283, 2022 | 28 | 2022 |
| Impact of natural gas development in the Marcellus and Utica shales on regional ozone and fine particulate matter levels YH Roohani, AA Roy, J Heo, AL Robinson, PJ Adams Atmospheric Environment 155, 11-20, 2017 | 28 | 2017 |
| Zero-shot causal learning H Nilforoshan, M Moor, Y Roohani, Y Chen, A Šurina, M Yasunaga, ... Advances in Neural Information Processing Systems 36, 6862-6901, 2023 | 11 | 2023 |
| How to build the virtual cell with artificial intelligence: Priorities and opportunities C Bunne, Y Roohani, Y Rosen, A Gupta, X Zhang, M Roed, T Alexandrov, ... Cell 187 (25), 7045-7063, 2024 | 7 | 2024 |
| Predicting Language Recovery after Stroke with Convolutional Networks on Stitched MRI YH Roohani, N Sajid, P Madhyastha, CJ Price, TMH Hope NeurIPS Machine Learning for Health (ML4H) Workshop, 2018 | 6 | 2018 |
| The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data M Chevalley, J Sackett-Sanders, Y Roohani, P Notin, A Bakulin, ... arXiv preprint arXiv:2308.15395, 2023 | 5 | 2023 |
| BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments Y Roohani, A Lee, Q Huang, J Vora, Z Steinhart, K Huang, A Marson, ... arXiv preprint arXiv:2405.17631, 2024 | 2 | 2024 |
| Improving Accuracy of Nuclei Segmentation by Reducing Histological Image Variability Y Roohani, E Kiss Computational Pathology and Ophthalmic Medical Image Analysis. OMIA 2018 …, 2018 | 2 | 2018 |
| Engineering cells using artificial intelligence Y Roohani Stanford University, 2024 | | 2024 |
| PreciCE: Precision engineering of cell fates via data-driven multi-gene control of transcriptional networks JP Magnusson, Y Roohani, D Stauber, Y Situ, PRC Teba, R Sandberg, ... bioRxiv, 2024.11. 04.621938, 2024 | | 2024 |
| Research briefing Y Roohani, J Leskovec | | 2022 |
