Article

Gradient boosting regression and convolution improve deconvolution of bulk transcriptomes

2026-03-05

Abstract excerpt

Bulk cell type deconvolution aims to estimate cell type composition from bulk transcriptomic data. So-called pseudobulk simulation, where single-cell RNA-seq data is aggregated to bulk-like expression profiles, represents a central concept in training and testing of deconvolution tools. However, deconvolution methods often lack interpretability and struggle to generalize from simulated to real data. We present Gro...

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Literature Corpus work: 0216bd4e-a788-5075-b4c7-070873deb090
DOI: 10.64898/2026.03.03.709368

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