scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics
Making sense of the rapidly growing single-cell omics datasets available is limited by difficulties in leveraging disparate datasets in analyses. Here, the authors present scGCN, a graph based convolutional network to allow effective knowledge transfer across omics datasets.
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2021-06-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-021-24172-y |
| Summary: | Making sense of the rapidly growing single-cell omics datasets available is limited by difficulties in leveraging disparate datasets in analyses. Here, the authors present scGCN, a graph based convolutional network to allow effective knowledge transfer across omics datasets. |
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| ISSN: | 2041-1723 |