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

Summary: Deconvolution algorithms mostly rely on single-cell RNA-sequencing (scRNA-seq) data applied onto bulk RNA-sequencing (bulk RNA-seq) to estimate tissues’ cell-type composition, with performance accuracy validated on deposited databases. Adipose tissues’ cellular composition is highly variabl...

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Bibliographic Details

Published in:	iScience
Main Authors:	Gil Sorek, Yulia Haim, Vered Chalifa-Caspi, Or Lazarescu, Maya Ziv-Agam, Tobias Hagemann, Pamela Arielle Nono Nankam, Matthias Blüher, Idit F. Liberty, Oleg Dukhno, Ivan Kukeev, Esti Yeger-Lotem, Assaf Rudich, Liron Levin
Format:	Article
Language:	English
Published:	Elsevier 2024-07-01
Subjects:	Integrative aspects of cell biology Biocomputational method Classification of bioinformatical subject Transcriptomics Machine learning
Online Access:	http://www.sciencedirect.com/science/article/pii/S2589004224015931