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Fast and interpretable quantification of biological shape heterogeneity via stratified Wasserstein kernel.

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Title: Fast and interpretable quantification of biological shape heterogeneity via stratified Wasserstein kernel.
Authors: Zhao, Wenjun1 (AUTHOR) zhaow@wfu.edu, Sutherland, Danica J.2,3 (AUTHOR), Dao Duc, Khanh4 (AUTHOR)
Source: PLoS Computational Biology. 5/7/2026, Vol. 22 Issue 5, p1-19. 19p.
Database: Academic Search Ultimate
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  Data: Fast and interpretable quantification of biological shape heterogeneity via stratified Wasserstein kernel.
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  Data: <searchLink fieldCode="AR" term="%22Zhao%2C+Wenjun%22">Zhao, Wenjun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zhaow@wfu.edu</i><br /><searchLink fieldCode="AR" term="%22Sutherland%2C+Danica+J%2E%22">Sutherland, Danica J.</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dao+Duc%2C+Khanh%22">Dao Duc, Khanh</searchLink><relatesTo>4</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 5/7/2026, Vol. 22 Issue 5, p1-19. 19p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=193596875
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        Value: 10.1371/journal.pcbi.1014254
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      – Code: eng
        Text: English
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        PageCount: 19
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      – TitleFull: Fast and interpretable quantification of biological shape heterogeneity via stratified Wasserstein kernel.
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            NameFull: Zhao, Wenjun
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            NameFull: Sutherland, Danica J.
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            NameFull: Dao Duc, Khanh
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              Text: 5/7/2026
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              Y: 2026
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