<p>Dreamlet: Scalable differential expression analysis of single cell transcriptomics datasets with complex study designs</p>

Gabriel Hoffman

doi:10.7490/f1000research.1119059.1

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Hoffman G. Dreamlet: Scalable differential expression analysis of single cell transcriptomics datasets with complex study designs [version 1; not peer reviewed]. F1000Research 2022, 11:844 (slides) (https://doi.org/10.7490/f1000research.1119059.1)

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Dreamlet: Scalable differential expression analysis of single cell transcriptomics datasets with complex study designs

Gabriel Hoffman¹

Published 27 Jul 2022 (https://doi.org/10.7490/f1000research.1119059.1)

Author Affiliations

¹ Icahn School of Medicine at Mount Sinai, USA

Copyright © 2022 Hoffman G. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 27 Jul 2022

Dreamlet: Scalable differential expression analysis of single cell transcriptomics datasets with complex study designs
[version 1; not peer reviewed]

Gabriel Hoffman¹

Author Affiliations

¹ Icahn School of Medicine at Mount Sinai, USA

Presented at

Bioconductor Annual Conference 2022

Competing Interests

No competing interests were disclosed

Keywords

linear mixed models, single cell RNA-seq, variancePartition

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