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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| Main Authors: | Weimiao Wu, Yunqing Liu, Qile Dai, Xiting Yan, Zuoheng Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2021-05-01
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| Series: | PLoS Computational Biology |
| Online Access: | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1009029&type=printable |
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