Deconvolution from bulk gene expression by leveraging sample-wise and gene-wise similarities and single-cell RNA-seq data

Abstract Background The widely adopted bulk RNA-seq measures the gene expression average of cells, masking cell type heterogeneity, which confounds downstream analyses. Therefore, identifying the cellular composition and cell type-specific gene expression profiles (GEPs) facilitates the study of the...

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Detalhes bibliográficos

Principais autores:	Chenqi Wang, Yifan Lin, Shuchao Li, Jinting Guan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2024-09-01
Colecção:	BMC Genomics
Assuntos:	Deconvolution Cell type abundance Cell type-specific gene expression profile Similarity matrix Single-cell RNA-seq data
Acesso em linha:	https://doi.org/10.1186/s12864-024-10728-x
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