A Bayesian framework to study tumor subclone-specific expression by combining bulk DNA and single-cell RNA sequencing data.

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作者： Yi,Qiao ^[1] ; Xiaomeng,Huang ^[1] ; Philip J,Moos ^[2] ; Jonathan M,Ahmann ^[3] ; Anthony D,Pomicter ^[3] ; Michael W,Deininger ^[3] ; John C,Byrd ^[4] ; Jennifer A,Woyach ^[5] ; Deborah M,Stephens ^[5] ; Gabor T,Marth ^[3]

作者单位： Eccles Institute of Human Genetics, University of Utah, Salt Lake City, Utah 84112, USA. ^[1] Department of Pharmacology and Toxicology, University of Utah, Salt Lake City, Utah 84112, USA. ^[2] Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah 84112, USA. ^[3] Division of Hematology and Hematologic Malignancies, University of Utah, Salt Lake City, Utah 84112, USA. ^[4] The James Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio 43210, USA. ^[5] Eccles Institute of Human Genetics, University of Utah, Salt Lake City, Utah 84112, USA; gabor.marth@gmail.com gmarth@genetics.utah.edu. ^[6]

主题词人类(Humans);贝叶斯定理(Bayes Theorem);肿瘤(Neoplasms);基因表达谱(Gene Expression Profiling);序列分析, RNA(Sequence Analysis, RNA);单细胞分析(Single-Cell Analysis)

DOI 10.1101/gr.278234.123

PMID 38195207

发布时间 2024-07-08

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准确一般字义偏差语意偏离译文作用小提交