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Single-cell multi-omics integration for unpaired data by a siamese network with graph-based contrastive loss
BACKGROUND: Single-cell omics technology is rapidly developing to measure the epigenome, genome, and transcriptome across a range of cell types. However, it is still challenging to integrate omics data from different modalities. Here, we propose a variation of the Siamese neural network framework ca...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9812356/ https://www.ncbi.nlm.nih.gov/pubmed/36600199 http://dx.doi.org/10.1186/s12859-022-05126-7 |