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...
Kaydedildi:
| Asıl Yazarlar: | , , , |
|---|---|
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Nature Portfolio
2021-10-01
|
| Seri Bilgileri: | Scientific Reports |
| Online Erişim: | https://doi.org/10.1038/s41598-021-99003-7 |
| Etiketler: |
Etiket eklenmemiş, İlk siz ekleyin!
|