Network-Based Single-Cell RNA-Seq Data Imputation Enhances Cell Type Identification
Single-cell RNA sequencing is a powerful technology for obtaining transcriptomes at single-cell resolutions. However, it suffers from dropout events (i.e., excess zero counts) since only a small fraction of transcripts get sequenced in each cell during the sequencing process. This inherent sparsity...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-03-01
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| Series: | Genes |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4425/11/4/377 |