Squidiff: predicting cellular development and responses to perturbations using a diffusion model

This article "Squidiff: predicting cellular development and responses to perturbations using a diffusion model" is published in Nature Methods. Author: Siyu He Journal: Nature Methods Year: 2025 Podcast type: Short The authors are: Siyu He Yuefei Zhu Daniel Naveed Tavakol Haotian Ye Yeh-Hsing Lao Zixian Zhu Cong Xu Shradha Chauhan Guy Garty Raju Tomer Gordana Vunjak-Novakovic James Zou Elham Azizi Kam W. Leong Affiliations: Siyu He, Yuefei Zhu, Daniel Naveed Tavakol, Yeh-Hsing Lao, Zixian Zhu, Cong Xu, Raju Tomer, Gordana Vunjak-Novakovic, Elham Azizi, Kam W. Leong, Department of Biomedical Engineering, Columbia University, New York, NY, USA Siyu He, Elham Azizi, Irving Institute for Cancer Dynamics, Columbia University, New York, NY, USA Siyu He, James Zou, Department of Biomedical Data Science, Stanford University, Stanford, CA, USA Haotian Ye, James Zou, Department of Computer Sciences, Stanford University, Stanford, CA, USA Yeh-Hsing Lao, Department of Pharmaceutical Sciences, University at Buffalo, Buffalo, NY, USA Shradha Chauhan, Raju Tomer, Department of Biological Sciences, Columbia University, New York, NY, USA Guy Garty, Center for Radiological Research, Columbia University, New York, NY, USA Gordana Vunjak-Novakovic, Elham Azizi, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA James Zou, Department of Electrical Engineering, Stanford University, Stanford, CA, USA Elham Azizi, Department of Computer Sciences, Columbia University, New York, NY, USA Elham Azizi, Data Science Institute, Columbia University, New York, NY, USA Kam W. Leong, Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA Siyu He, Yuefei Zhu, Daniel Naveed Tavakol, These authors contributed equally.