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The Poisson distribution model fits UMI-based single-cell RNA-sequencing data
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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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American Journal Experts
2023
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Materias: | |
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 |
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por Pan, Yue, Landis, Justin T., Moorad, Razia, Wu, Di, Marron, J. S., Dittmer, Dirk P.
Publicado 2023
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Publicado 2023
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Online
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