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

Single-cell RNA sequencing (scRNA-seq) is a powerful technique for understanding cellular diversity, but processing large patient cohorts to identify phenotype-associated cell populations remains challenging. Here, scPER (Estimating cell Proportions using single-cell RNA-seq Reference), a rigorous a...

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Veröffentlicht in:	Advanced science S. e14502
Hauptverfasser:	Li, Bingrui, Zhou, Xiaobo, Kalluri, Raghu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Germany 27.11.2025
Schlagworte:	deconvolution cancer biology tumor microenvironment machine learning
ISSN:	2198-3844, 2198-3844
Online-Zugang:	Volltext
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