scAEGAN: Unification of single-cell genomics data by adversarial learning of latent space correspondences.
Recent progress in Single-Cell Genomics has produced different library protocols and techniques for molecular profiling. We formulate a unifying, data-driven, integrative, and predictive methodology for different libraries, samples, and paired-unpaired data modalities. Our design of scAEGAN includes...
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| Hoofdauteurs: | , , , , , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Public Library of Science (PLoS)
2023-01-01
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| Reeks: | PLoS ONE |
| Online toegang: | https://doi.org/10.1371/journal.pone.0281315 |
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