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Bayesian identification of differentially expressed isoforms using a novel joint model of RNA-seq data.

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Title: Bayesian identification of differentially expressed isoforms using a novel joint model of RNA-seq data.
Authors: Shi, Xu1 (AUTHOR), Wang, Xiao1 (AUTHOR), Jin, Lu2 (AUTHOR), Halakivi-Clarke, Leena2 (AUTHOR), Clarke, Robert2 (AUTHOR), Neuwald, Andrew F.3 (AUTHOR), Xuan, Jianhua1 (AUTHOR) xuan@vt.edu
Source: PLoS Computational Biology. 1/31/2025, Vol. 21 Issue 1, p1-21. 21p.
Database: Academic Search Ultimate
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  Data: Bayesian identification of differentially expressed isoforms using a novel joint model of RNA-seq data.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 1/31/2025, Vol. 21 Issue 1, p1-21. 21p.
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        Value: 10.1371/journal.pcbi.1012750
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              Text: 1/31/2025
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