PROFET predicts continuous gene expression dynamics from scRNA-seq data to elucidate heterogeneity of cancer treatment responses

Yu-Chen Cheng, Hyemin Gu, Thomas O. McDonald, Wenbo Wu, Shubham Tripathi, Cristina Guarducci, Douglas Russo, Daniel L. Abravanel, Madeline Bailey, Yue Wang, Yun Zhang, Yannis Pantazis, Herbert Levine, Rinath Jeselsohn, Markos A. Katsoulakis, Franziska Michor

Open source

DOI
10.1016/j.cels.2026.101710
Published
2026-08
Container
Cell Systems
Publisher
Elsevier BV
Open access
unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.cels.2026.101710,
  title = {PROFET predicts continuous gene expression dynamics from scRNA-seq data to elucidate heterogeneity of cancer treatment responses},
  author = {Yu-Chen Cheng and Hyemin Gu and Thomas O. McDonald and Wenbo Wu and Shubham Tripathi and Cristina Guarducci and Douglas Russo and Daniel L. Abravanel and Madeline Bailey and Yue Wang and Yun Zhang and Yannis Pantazis and Herbert Levine and Rinath Jeselsohn and Markos A. Katsoulakis and Franziska Michor},
  year = {2026},
  journal = {Cell Systems},
  doi = {10.1016/j.cels.2026.101710},
  url = {https://doi.org/10.1016/j.cels.2026.101710}
}

RIS

TY  - JOUR
TI  - PROFET predicts continuous gene expression dynamics from scRNA-seq data to elucidate heterogeneity of cancer treatment responses
AU  - Yu-Chen Cheng
AU  - Hyemin Gu
AU  - Thomas O. McDonald
AU  - Wenbo Wu
AU  - Shubham Tripathi
AU  - Cristina Guarducci
AU  - Douglas Russo
AU  - Daniel L. Abravanel
AU  - Madeline Bailey
AU  - Yue Wang
AU  - Yun Zhang
AU  - Yannis Pantazis
AU  - Herbert Levine
AU  - Rinath Jeselsohn
AU  - Markos A. Katsoulakis
AU  - Franziska Michor
PY  - 2026
JO  - Cell Systems
DO  - 10.1016/j.cels.2026.101710
UR  - https://doi.org/10.1016/j.cels.2026.101710
ER  - 

APA

Cheng, Y., Gu, H., McDonald, T. O., Wu, W., Tripathi, S., Guarducci, C., Russo, D., Abravanel, D. L., Bailey, M., Wang, Y., Zhang, Y., Pantazis, Y., Levine, H., Jeselsohn, R., Katsoulakis, M. A., & Michor, F. (2026). PROFET predicts continuous gene expression dynamics from scRNA-seq data to elucidate heterogeneity of cancer treatment responses. Cell Systems. https://doi.org/10.1016/j.cels.2026.101710

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