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DOT: a flexible multi-objective optimization framework for transferring features across single-cell and spatial omics

Single-cell transcriptomics and spatially-resolved imaging/sequencing technologies have revolutionized biomedical research. However, they suffer from lack of spatial information and a trade-off of resolution and gene coverage, respectively. We propose DOT, a multi-objective optimization framework fo...

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Main Authors: Rahimi, Arezou (Author) , Vale Silva, Luis A. (Author) , Fälth Savitski, Maria (Author) , Tanevski, Jovan (Author) , Sáez Rodríguez, Julio (Author)
Format: Article (Journal)
Language:English
Published: 11 June 2024
In: Nature Communications
Year: 2024, Volume: 15, Pages: 1-15
ISSN:2041-1723
DOI:10.1038/s41467-024-48868-z
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1038/s41467-024-48868-z
Verlag, kostenfrei, Volltext: https://www.nature.com/articles/s41467-024-48868-z
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Author Notes:Arezou Rahimi, Luis A. Vale-Silva, Maria Fälth Savitski, Jovan Tanevski & Julio Saez-Rodriguez

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