The Poisson distribution model fits UMI-based single-cell RNA-sequencing data

Abstract Background Modeling of single cell RNA-sequencing (scRNA-seq) data remains challenging due to a high percentage of zeros and data heterogeneity, so improved modeling has strong potential to benefit many downstream data analyses. The existing zero-inflated or over-dispersed models are based...

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Bibliographic Details
Main Authors: Yue Pan, Justin T. Landis, Razia Moorad, Di Wu, J. S. Marron, Dirk P. Dittmer
Format: Article
Language:English
Published: BMC 2023-06-01
Series:BMC Bioinformatics
Subjects:
Online Access:https://doi.org/10.1186/s12859-023-05349-2