sNucConv: A bulk RNA-seq deconvolution method trained on single-nucleus RNA-seq data to estimate cell-type composition of human adipose tissues.

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作者： Gil,Sorek ^[1] ; Yulia,Haim ^[2] ; Vered,Chalifa-Caspi ^[1] ; Or,Lazarescu ^[2] ; Maya,Ziv-Agam ^[2] ; Tobias,Hagemann ^[3] ; Pamela Arielle,Nono Nankam ^[3] ; Matthias,Blüher ^[3] ; Idit F,Liberty ^[4] ; Oleg,Dukhno ^[4] ; Ivan,Kukeev ^[4] ; Esti,Yeger-Lotem ^[2] ; Assaf,Rudich ^[2] ; Liron,Levin ^[1]

作者单位： Bioinformatics Core Facility, llse Katz Institute for Nanoscale Science and Technology, Ben-Gurion University of the Negev, Beer-Sheva, Israel. ^[1] Department of Clinical Biochemistry and Pharmacology, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel. ^[2] Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Zentrum München at the University of Leipzig and University Hospital Leipzig, Leipzig, Germany. ^[3] Soroka University Medical Center, and the Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel. ^[4]

关键词 Biocomputational method Classification of bioinformatical subject Integrative aspects of cell biology Machine learning Transcriptomics

DOI 10.1016/j.isci.2024.110368

PMID 39071890

发布时间 2024-07-30

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sNucConv: A bulk RNA-seq deconvolution method trained on single-nucleus RNA-seq data to estimate cell-type composition of human adipose tissues.

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sNucConv: A bulk RNA-seq deconvolution method trained on single-nucleus RNA-seq data to estimate cell-type composition of human adipose tissues.

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