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Unsupervised topological alignment for single-cell multi-omics integration
MOTIVATION: Single-cell multi-omics data provide a comprehensive molecular view of cells. However, single-cell multi-omics datasets consist of unpaired cells measured with distinct unmatched features across modalities, making data integration challenging. RESULTS: In this study, we present a novel a...
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| 出版年: | Bioinformatics |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Oxford University Press
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7355262/ https://ncbi.nlm.nih.gov/pubmed/32657382 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa443 |
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