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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2023
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| Materias: | |
| 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 |