Benchmark of cellular deconvolution methods using a multi-assay dataset from postmortem human prefrontal cortex

Benchmark of cellular deconvolution methods using a multi-assay dataset from postmortem human prefrontal cortex

Abstract Cellular deconvolution of bulk RNA-sequencing data using single cell/nuclei RNA-seq reference data is an important strategy for estimating cell type composition in heterogeneous tissues, such as the human brain. Here, we generate a multi-assay dataset in postmortem human dorsolateral prefro...

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Bibliographic Details
Main Authors: Louise A. Huuki-Myers, Kelsey D. Montgomery, Sang Ho Kwon, Sophia Cinquemani, Nicholas J. Eagles, Daianna Gonzalez-Padilla, Sean K. Maden, Joel E. Kleinman, Thomas M. Hyde, Stephanie C. Hicks, Kristen R. Maynard, Leonardo Collado-Torres
Format: Article
Language:English
Published: BMC 2025-04-01
Series:Genome Biology
Subjects:
Deconvolution
Transcriptomics
RNA-seq
snRNA-seq
smFISH
RNAScope
Online Access:https://doi.org/10.1186/s13059-025-03552-3
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https://doi.org/10.1186/s13059-025-03552-3

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