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scDREAMER: atlas-level integration of single-cell datasets using deep generative model paired with adversarial classifier

2022-07-19

Abstract excerpt

Integration of heterogeneous single-cell sequencing datasets generated across multiple tissue locations, time and conditions is essential for a comprehensive understanding of the cellular states and expression programs underlying complex biological systems. Here, we present scDREAMER (https://github.com/Zafar-Lab/scDREAMER), a novel data integration framework that employs a novel adversarial variational autoencode...

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Literature Corpus work
2c6097f1-6b8b-563f-ae79-fe4cf4da0d9c
DOI
10.21203/rs.3.rs-1852910/v1
Open publication

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scDREAMER: atlas-level integration of single-cell datasets using deep generative model paired with adversarial classifierDOI 10.21203/rs.3.rs-1852910/v1
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