Ensemble deep learning of embeddings for clustering multimodal single-cell omics data

MOTIVATION: Recent advances in multimodal single-cell omics technologies enable multiple modalities of molecular attributes, such as gene expression, chromatin accessibility, and protein abundance, to be profiled simultaneously at a global level in individual cells. While the increasing availability...

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Detalles Bibliográficos
Autores principales: Yu, Lijia, Liu, Chunlei, Yang, Jean Yee Hwa, Yang, Pengyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10287920/
https://www.ncbi.nlm.nih.gov/pubmed/37314966
http://dx.doi.org/10.1093/bioinformatics/btad382

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10287920/
https://www.ncbi.nlm.nih.gov/pubmed/37314966
http://dx.doi.org/10.1093/bioinformatics/btad382

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