Article

Bayesian cell-type deconvolution and gene expression inference reveals tumor-microenvironment interactions

2020-01-08

Abstract excerpt

Understanding the interactions between cells in their environment is a major challenge in genomics. Here we developed BayesPrism, a Bayesian method to jointly predict cellular composition and gene expression in each cell type, including heterogeneous malignant cells, from bulk RNA-seq using scRNA-seq as prior information. We conducted an integrative analysis of 1,412 bulk RNA-seq samples in primary glioblastoma, h...

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Literature Corpus work: 8aa771a1-ed3f-525c-954e-a7e3d61b530e
DOI: 10.1101/2020.01.07.897900

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