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November 30, 2025Advanced ScienceOpen Access

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

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Authors

BLBingrui LiXZXiaobo ZhouRKRaghu Kalluri

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Overview

Observational analysis identifies tumor microenvironment dynamics in metastatic urothelial cancer, suggesting scPER enhances cellular classification accuracy.

Key Points

  • scPER accurately estimates cellular proportions in tumors, aiding subtype identification.
  • It enables robust integration of scRNA-seq datasets across cancer types for better insights.
  • The method employs adversarial autoencoder and extreme gradient boosting techniques for improved accuracy.
  • Findings suggest significant implications for understanding immune response in metastatic urothelial cancer.

Cite This Study

Li et al. (2025) studied this question.

synapsesocial.com/papers/692b9da01d383f2b2a37a28bhttps://doi.org/10.1002/advs.202514502
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