biostudies-literatureUnknown12(1)Andrade Barbosa Bstichting Cancer Center AmsterdamDeconvolution of bulk gene expression profiles into the cellular components is pivotal to portraying tissue's complex cellular make-up, such as the tumor microenvironment. However, the inherently variable nature of gene expression requires a comprehensive statistical model and reliable prior knowledge of individual cell types that can be obtained from single-cell RNA sequencing. We introduce BLADE (Bayesian Log-normAl Deconvolution), a unified Bayesian framework to estimate both cellular composition and gene expression profiles for each cell type. Unlike previous comprehensive statistical approaches, BLADE can handle > 20 types of cells due to the efficient variational inference. Throughout an intensive evaluation with > 700 simulated and real datasets, BLADE demonstrated enhanced robustneNature communications6106https://www.ebi.ac.uk/biostudies/studies/S-EPMC8528834biostudies-literatureBayesian log-normal deconvolution for enhanced in silico microdissection of bulk gene expression data.PMC8528834van Asten SDAndrade Barbosa Bvan de Wiel MAGarcia Vallejo JJFarina-Sarasqueta AVerheij Jvan Laarhoven HWMKim YYlstra BOh JWDijk FfalseBayesian log-normal deconvolution for enhanced in silico microdissection of bulk gene expression data.Deconvolution of bulk gene expression profiles into the cellular components is pivotal to portraying tissue's complex cellular make-up, such as the tumor microenvironment. However, the inherently variable nature of gene expression requires a comprehensive statistical model and reliable prior knowledge of individual cell types that can be obtained from single-cell RNA sequencing. We introduce BLADE (Bayesian Log-normAl Deconvolution), a unified Bayesian framework to estimate both cellular composition and gene expression profiles for each cell type. Unlike previous comprehensive statistical approaches, BLADE can handle > 20 types of cells due to the efficient variational inference. Throughout an intensive evaluation with > 700 simulated and real datasets, BLADE demonstrated enhanced robustne2021-01-01T00:00:00Z2021 Oct2026-05-08T11:16:48.079Z2025-05-29T20:24:12.808ZS-EPMC85288343467102810.1038/s41467-021-26328-2