scIMC: a platform for benchmarking comparison and visualization analysis of scRNA-seq data imputation methods

With the advent of single-cell RNA sequencing (scRNA-seq), one major challenging is the so-called ‘dropout’ events that distort gene expression and remarkably influence downstream analysis in single-cell transcriptome. To address this issue, much effort has been done and several scRNA-seq imputation...

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Detalles Bibliográficos
Autores principales: Dai, Chichi, Jiang, Yi, Yin, Chenglin, Su, Ran, Zeng, Xiangxiang, Zou, Quan, Nakai, Kenta, Wei, Leyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Computational Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9122610/
https://www.ncbi.nlm.nih.gov/pubmed/35524568
http://dx.doi.org/10.1093/nar/gkac317

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9122610/
https://www.ncbi.nlm.nih.gov/pubmed/35524568
http://dx.doi.org/10.1093/nar/gkac317

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