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DADA-EV: domain-adaptive diffusion autoencoder for estimating tissue- and cell-type-specific origin in extracellular vesicle transcriptomes.

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Title: DADA-EV: domain-adaptive diffusion autoencoder for estimating tissue- and cell-type-specific origin in extracellular vesicle transcriptomes.
Authors: Liao, Shuilin1, Yang, Haoxiang2, Xiao, Shuting3, Li, Zhiwen4, Zhu, Qi3, Li, Le5, Lu, Shanghui6, Liang, Yong7, Dong, Ming8
Source: Briefings in Bioinformatics; May2026, Vol. 27 Issue 3, p1-19, 19p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 195128690
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=195128690
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        Value: 10.1093/bib/bbag281
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      – Code: eng
        Text: English
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        PageCount: 19
        StartPage: 1
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      – TitleFull: DADA-EV: domain-adaptive diffusion autoencoder for estimating tissue- and cell-type-specific origin in extracellular vesicle transcriptomes.
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            NameFull: Liao, Shuilin
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            NameFull: Yang, Haoxiang
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            NameFull: Li, Zhiwen
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            NameFull: Zhu, Qi
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            NameFull: Li, Le
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            NameFull: Lu, Shanghui
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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            – TitleFull: Briefings in Bioinformatics
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