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Probabilistic harmonization and annotation of single‐cell transcriptomics data with deep generative models

Abstract As the number of single‐cell transcriptomics datasets grows, the natural next step is to integrate the accumulating data to achieve a common ontology of cell types and states. However, it is not straightforward to compare gene expression levels across datasets and to automatically assign ce...

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Principais autores: Chenling Xu, Romain Lopez, Edouard Mehlman, Jeffrey Regier, Michael I Jordan, Nir Yosef
Format: Artigo
Jezik:Inglês
Izdano: Springer Nature 2021-01-01
Serija:Molecular Systems Biology
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Online dostop:https://doi.org/10.15252/msb.20209620
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