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DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data
Single-cell RNA sequencing (scRNA-seq) offers new opportunities to study gene expression of tens of thousands of single cells simultaneously. We present DeepImpute, a deep neural network-based imputation algorithm that uses dropout layers and loss functions to learn patterns in the data, allowing fo...
Uloženo v:
| Vydáno v: | Genome Biol |
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| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
BioMed Central
2019
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6798445/ https://ncbi.nlm.nih.gov/pubmed/31627739 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-019-1837-6 |
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