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.