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Article

Deconvolution of Sparse-count RNA Sequencing Data for Tumor Cells Using Embedded Negative Binomial Distributions

2025-11-24

Abstract excerpt

Estimating tumor-specific transcript proportions from mixed bulk samples has potential to inform novel biology. However, estimation accuracy using existing methods in sparse-count data such as microRNA-seq and spatial transcriptomics has yet to be established. We generated a mixed small RNA benchmark dataset to demonstrate analytical challenges. To resolve them, we developed DeMixNB, a semi-reference-based deconvo...

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Literature Corpus work
d7c8a702-86c8-5982-820b-4fa7752b235e
DOI
10.1101/2025.11.21.689822
Open publication

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Deconvolution of Sparse-count RNA Sequencing Data for Tumor Cells Using Embedded Negative Binomial DistributionsDOI 10.1101/2025.11.21.689822
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