Yusuf H. Roohani

According to our database, Yusuf H. Roohani authored at least 10 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities.

Charlotte Bunne, Yusuf H. Roohani, Yanay Rosen, Ankit Gupta, Xikun Zhang, Marcel Roed, Theo Alexandrov, Mohammed AlQuraishi, Patricia Brennan, Daniel B. Burkhardt, Andrea Califano, Jonah Cool, Abby F. Dernburg, Kirsty Ewing, Emily B. Fox, Matthias Haury, Amy E. Herr, Eric Horvitz, Patrick D. Hsu, Viren Jain, Gregory R. Johnson, Thomas Kalil, David R. Kelley, Shana O. Kelley, Anna Kreshuk, Tim Mitchison, Stephani Otte, Jay Shendure, Nicolas J. Sofroniew, Fabian J. Theis, Christina V. Theodoris, Srigokul Upadhyayula, Marc Valer, Bo Wang, Eric Xing, Serena Yeung-Levy, Marinka Zitnik, Theofanis Karaletsos, Aviv Regev, Emma Lundberg, Jure Leskovec, Stephen R. Quake

CoRR, 2024

BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments.

Yusuf H. Roohani, Jian Vora, Qian Huang, Zachary Steinhart, Alexander Marson, Percy Liang, Jure Leskovec

CoRR, 2024

2023

Towards Universal Cell Embeddings: Integrating Single-cell RNA-seq Datasets across Species with SATURN.

Yanay Rosen, Yusuf H. Roohani, Maria Brbic, Kyle Swanson, Ziang Li, Jure Leskovec

Dataset, December, 2023

The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data.

Mathieu Chevalley, Jacob Sackett-Sanders, Yusuf H. Roohani, Pascal Notin, Artemy Bakulin, Dariusz Brzezinski, Kaiwen Deng, Yuanfang Guan, Justin Hong, Michael Ibrahim, Wojciech Kotlowski, Marcin Kowiel, Panagiotis Misiakos, Achille Nazaret, Markus Püschel, Chris Wendler, Arash Mehrjou, Patrick Schwab

CoRR, 2023

Zero-shot causal learning.

Hamed Nilforoshan, Michael Moor, Yusuf H. Roohani, Yining Chen, Anja Surina, Michihiro Yasunaga, Sara Oblak, Jure Leskovec

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data.

Mathieu Chevalley, Yusuf H. Roohani, Arash Mehrjou, Jure Leskovec, Patrick Schwab

CoRR, 2022

2021

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics.

Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf H. Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik

CoRR, 2021

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development.

Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf H. Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2018

Predicting Language Recovery after Stroke with Convolutional Networks on Stitched MRI.

Yusuf H. Roohani, Noor Sajid, Pranava Madhyastha, Cathy J. Price, Thomas M. H. Hope

CoRR, 2018

Improving Accuracy of Nuclei Segmentation by Reducing Histological Image Variability.

Yusuf H. Roohani, Eric G. Kiss

Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018