GTM-decon: guided-topic modeling of single-cell transcriptomes enables sub-cell-type and disease-subtype deconvolution of bulk transcriptomes

Abstract Cell-type composition is an important indicator of health. We present Guided Topic Model for deconvolution (GTM-decon) to automatically infer cell-type-specific gene topic distributions from single-cell RNA-seq data for deconvolving bulk transcriptomes. GTM-decon performs competitively on d...

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Библиографические подробности

Главные авторы:	Lakshmipuram Seshadri Swapna, Michael Huang, Yue Li
Формат:	Artigo
Язык:	Inglês
Опубликовано:	BMC 2023-08-01
Серии:	Genome Biology
Предметы:	Cell-type deconvolution Single-cell transcriptome Topic models Variational inference Bayesian modeling Type 2 diabetes
Online-ссылка:	https://doi.org/10.1186/s13059-023-03034-4
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