A deep learning framework for denoising and ordering scRNA-seq data using adversarial autoencoder with dynamic batching
Summary: Single-cell RNA sequencing (scRNA-seq) provides high resolution of cell-to-cell variation in gene expression and offers insights into cell heterogeneity, differentiating dynamics, and disease mechanisms. However, technical challenges such as low capture rates and dropout events can introduc...
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| Główni autorzy: | , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Elsevier
2024-06-01
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| Seria: | STAR Protocols |
| Hasła przedmiotowe: | |
| Dostęp online: | http://www.sciencedirect.com/science/article/pii/S2666166724002326 |
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