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

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Bibliographic Details
Title: scPER: A Rigorous Computational Approach to Determine Cellular Subtypes in Tumors Aligned With Cancer Phenotypes From Total RNA Sequencing.
Authors: Li B; Department of Cancer Biology, University of Texas MD Anderson Cancer Center, Houston, TX, 77054, USA.; Center for Computational Systems Medicine, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA., Zhou X; Center for Computational Systems Medicine, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.; McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA., Kalluri R; Department of Cancer Biology, University of Texas MD Anderson Cancer Center, Houston, TX, 77054, USA.; Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, 77030, USA.; Department of Bioengineering, Rice University, Houston, TX, 77005, USA.; Department of Electrical and Computer Engineering, Rice University, Houston, TX, 77005, USA.; Department of Pathology, University of Texas Medical Branch, Galveston, TX, 77555, USA.
Source: Advanced science (Weinheim, Baden-Wurttemberg, Germany) [Adv Sci (Weinh)] 2026 Feb; Vol. 13 (8), pp. e14502. Date of Electronic Publication: 2025 Nov 27.
Publication Type: Journal Article
Journal Info: Publisher: WILEY-VCH Country of Publication: Germany NLM ID: 101664569 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2198-3844 (Electronic) Linking ISSN: 21983844 NLM ISO Abbreviation: Adv Sci (Weinh) Subsets: MEDLINE
Database: MEDLINE Ultimate
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