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Evaluating machine learning algorithms at predicting developmental trajectories using sequential dataset truncation of voluntary alcohol consumption in adolescent mice.

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Title: Evaluating machine learning algorithms at predicting developmental trajectories using sequential dataset truncation of voluntary alcohol consumption in adolescent mice.
Authors: Yu, Nathan1 (AUTHOR), Buyske, Steven2 (AUTHOR), Qureshi, Uthman1 (AUTHOR), Yu, Lei1,3 (AUTHOR) yu@biology.rutgers.edu
Source: PLoS ONE. 6/22/2026, Vol. 21 Issue 6, p1-15. 15p.
Database: Academic Search Ultimate
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  Data: Evaluating machine learning algorithms at predicting developmental trajectories using sequential dataset truncation of voluntary alcohol consumption in adolescent mice.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 6/22/2026, Vol. 21 Issue 6, p1-15. 15p.
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        Value: 10.1371/journal.pone.0352197
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      – Code: eng
        Text: English
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              Text: 6/22/2026
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              Y: 2026
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