Uncovering candidate Nanog-Helper genes in early mouse embryo differentiation using differential entropy and network inference.

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Title: Uncovering candidate Nanog-Helper genes in early mouse embryo differentiation using differential entropy and network inference.
Authors: Prista von Bonhorst, Francisco1 (AUTHOR) fpristas@ulb.be, Gandrillon, Olivier2 (AUTHOR), Herbach, Ulysse3 (AUTHOR), Robert, Corentin1,4 (AUTHOR), Chazaud, Claire5 (AUTHOR), De Decker, Yannick4 (AUTHOR), Gonze, Didier1 (AUTHOR), Dupont, Geneviève1 (AUTHOR)
Source: Scientific Reports. 6/6/2025, Vol. 15 Issue 1, p1-13. 13p.
Database: Academic Search Ultimate
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  Data: Uncovering candidate Nanog-Helper genes in early mouse embryo differentiation using differential entropy and network inference.
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  Data: <searchLink fieldCode="JN" term="%22Scientific+Reports%22">Scientific Reports</searchLink>. 6/6/2025, Vol. 15 Issue 1, p1-13. 13p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=185850909
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        Value: 10.1038/s41598-025-03956-y
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      – Code: eng
        Text: English
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      – TitleFull: Uncovering candidate Nanog-Helper genes in early mouse embryo differentiation using differential entropy and network inference.
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              Text: 6/6/2025
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