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G2S3: A gene graph-based imputation method for single-cell RNA sequencing data
Single-cell RNA sequencing technology provides an opportunity to study gene expression at single-cell resolution. However, prevalent dropout events result in high data sparsity and noise that may obscure downstream analyses in single-cell transcriptomic studies. We propose a new method, G2S3, that i...
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| Publicat a: | PLoS Comput Biol |
|---|---|
| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science
2021
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8189489/ https://ncbi.nlm.nih.gov/pubmed/34003861 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1009029 |
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