A topology-preserving dimensionality reduction method for single-cell RNA-seq data using graph autoencoder
Abstract Dimensionality reduction is crucial for the visualization and interpretation of the high-dimensional single-cell RNA sequencing (scRNA-seq) data. However, preserving topological structure among cells to low dimensional space remains a challenge. Here, we present the single-cell graph autoen...
Furkejuvvon:
| Váldodahkkit: | , , , |
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| Materiálatiipa: | Artigo |
| Giella: | Inglês |
| Almmustuhtton: |
Nature Portfolio
2021-10-01
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| Ráidu: | Scientific Reports |
| Liŋkkat: | https://doi.org/10.1038/s41598-021-99003-7 |
| Fáddágilkorat: |
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