Deconvolution of Sparse-count RNA Sequencing Data for Tumor Cells Using Embedded Negative Binomial Distributions
Matthew D. Montierth, Hao Yan, Liyang Xie, Kinga Németh, Xiaoxi Pan, Ruonan Li, Caner Ercan, Yang Peng, Ansam F. Sinjab, Tieling Zhou, Fuduan Peng, Manisha Singh, Linghua Wang, Scott Kopetz, Humam N. Kadara, , Wenyi Wang
The paper develops DeMixNB, a deconvolution model for sparse-count RNA sequencing data, showing its utility in analyzing tumor cell plasticity in breast and lung cancer.
bioRxiv · Nov 21, 2025 · PreprintBioinformatics