scPER: A Rigorous Computational Approach to Determine Cellular Subtypes in Tumors Aligned With Cancer Phenotypes From Total RNA Sequencing

Bingrui Li, Xiaobo Zhou, Raghu Kalluri

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DOI: 10.1002/advs.202514502
Published: 2025-11-27
Container: Advanced Science
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/advs.202514502,
  title = {scPER: A Rigorous Computational Approach to Determine Cellular Subtypes in Tumors Aligned With Cancer Phenotypes From Total RNA Sequencing},
  author = {Bingrui Li and Xiaobo Zhou and Raghu Kalluri},
  year = {2025},
  journal = {Advanced Science},
  doi = {10.1002/advs.202514502},
  url = {https://doi.org/10.1002/advs.202514502}
}

RIS

TY  - JOUR
TI  - scPER: A Rigorous Computational Approach to Determine Cellular Subtypes in Tumors Aligned With Cancer Phenotypes From Total RNA Sequencing
AU  - Bingrui Li
AU  - Xiaobo Zhou
AU  - Raghu Kalluri
PY  - 2025
JO  - Advanced Science
DO  - 10.1002/advs.202514502
UR  - https://doi.org/10.1002/advs.202514502
ER  -

APA

Li, B., Zhou, X., & Kalluri, R. (2025). scPER: A Rigorous Computational Approach to Determine Cellular Subtypes in Tumors Aligned With Cancer Phenotypes From Total RNA Sequencing. Advanced Science. https://doi.org/10.1002/advs.202514502

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crossref · retrieved 2026-09-26T10:49:50.411Z