LSH-GAN enables in-silico generation of cells for small sample high dimensional scRNA-seq data
LSH-GAN is a locality-sensitive hashing based generative adversarial model that can produce realistic cell samples from small sample single-cell scRNA-seq data. The generated cells can be utilized for downstream analysis, like gene selection and cell clustering.
Gorde:
| Egile Nagusiak: | , , |
|---|---|
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Nature Portfolio
2022-06-01
|
| Saila: | Communications Biology |
| Sarrera elektronikoa: | https://doi.org/10.1038/s42003-022-03473-y |
| Etiketak: |
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
|