resVAE ensemble: Unsupervised identification of gene sets in multi-modal single-cell sequencing data using deep ensembles

Feature identification and manual inspection is currently still an integral part of biological data analysis in single-cell sequencing. Features such as expressed genes and open chromatin status are selectively studied in specific contexts, cell states or experimental conditions. While conventional...

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Detalles Bibliográficos
Autores principales: Ten, Foo Wei, Yuan, Dongsheng, Jabareen, Nabil, Phua, Yin Jun, Eils, Roland, Lukassen, Sören, Conrad, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Cell and Developmental Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975353/
https://www.ncbi.nlm.nih.gov/pubmed/36875765
http://dx.doi.org/10.3389/fcell.2023.1091047

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975353/
https://www.ncbi.nlm.nih.gov/pubmed/36875765
http://dx.doi.org/10.3389/fcell.2023.1091047

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