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

2022-07-14

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 autoenc...

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Literature Corpus work
a361c675-08e2-5ef6-b623-29ad3df41114
DOI
10.1101/2022.07.12.499846
Open publication

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scDREAMER: atlas-level integration of single-cell datasets using deep generative model paired with adversarial classifierDOI 10.1101/2022.07.12.499846
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