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

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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 on aggre...

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Detalles Bibliográficos
Autores principales: Pan, Yue, Landis, Justin T., Moorad, Razia, Wu, Di, Marron, J.S., Dittmer, Dirk P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9934739/
https://www.ncbi.nlm.nih.gov/pubmed/36798423
http://dx.doi.org/10.21203/rs.3.rs-2517698/v1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9934739/
https://www.ncbi.nlm.nih.gov/pubmed/36798423
http://dx.doi.org/10.21203/rs.3.rs-2517698/v1

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