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Improved gene regulatory network inference from single cell data with dropout augmentation.

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Title: Improved gene regulatory network inference from single cell data with dropout augmentation.
Authors: Zhu, Hao1 (AUTHOR) donna.slonim@tufts.edu, Slonim, Donna K.1 (AUTHOR) donna.slonim@tufts.edu
Source: PLoS Computational Biology. 10/24/2025, Vol. 21 Issue 10, p1-20. 20p.
Database: Academic Search Ultimate
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  Data: Improved gene regulatory network inference from single cell data with dropout augmentation.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 10/24/2025, Vol. 21 Issue 10, p1-20. 20p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=188870450
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        Value: 10.1371/journal.pcbi.1013603
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              Text: 10/24/2025
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