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A mixture of attention experts-embedded flow-based generative model to create synthetic cells in single-cell RNA-Seq datasets.

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Title: A mixture of attention experts-embedded flow-based generative model to create synthetic cells in single-cell RNA-Seq datasets.
Authors: Turgut Ögme, Sultan Sevgi1 (AUTHOR), Aydin, Nizamettin2 (AUTHOR), Kurt, Zeyneb3 (AUTHOR) z.kurt@sheffield.ac.uk
Source: PLoS Computational Biology. 10/6/2025, Vol. 21 Issue 10, p1-25. 25p.
Database: Academic Search Ultimate
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  Data: A mixture of attention experts-embedded flow-based generative model to create synthetic cells in single-cell RNA-Seq datasets.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 10/6/2025, Vol. 21 Issue 10, p1-25. 25p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=188467473
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        Value: 10.1371/journal.pcbi.1013525
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