iPoLNG—An unsupervised model for the integrative analysis of single-cell multiomics data

Single-cell multiomics technologies, where the transcriptomic and epigenomic profiles are simultaneously measured in the same set of single cells, pose significant challenges for effective integrative analysis. Here, we propose an unsupervised generative model, iPoLNG, for the effective and scalable...

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Detalles Bibliográficos
Autores principales: Zhang, Wenyu, Lin, Zhixiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9972291/
https://www.ncbi.nlm.nih.gov/pubmed/36865385
http://dx.doi.org/10.3389/fgene.2023.998504

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9972291/
https://www.ncbi.nlm.nih.gov/pubmed/36865385
http://dx.doi.org/10.3389/fgene.2023.998504

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