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AdaSemb: an adaptive knowledge-driven deep learning framework integrating cancer protein assemblies for predicting PI3Kα inhibitor response and resistance.

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Title: AdaSemb: an adaptive knowledge-driven deep learning framework integrating cancer protein assemblies for predicting PI3Kα inhibitor response and resistance.
Authors: Li, Zaiduo1, Yang, Qiang2, Xu, Long2, Dong, Weihe2, Yang, Xiaochuan1, Zhang, Xianyu3, Yang, Tiansong4, Li, Xiaokun2,5,6,7, Liu, Mingliang1
Source: Briefings in Bioinformatics; Sep2025, Vol. 26 Issue 5, p1-12, 12p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 189395508
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: AdaSemb: an adaptive knowledge-driven deep learning framework integrating cancer protein assemblies for predicting PI3Kα inhibitor response and resistance.
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  Data: <searchLink fieldCode="JN" term="%22Briefings+in+Bioinformatics%22">Briefings in Bioinformatics</searchLink>; Sep2025, Vol. 26 Issue 5, p1-12, 12p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=189395508
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      – Type: doi
        Value: 10.1093/bib/bbaf510
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 1
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      – TitleFull: AdaSemb: an adaptive knowledge-driven deep learning framework integrating cancer protein assemblies for predicting PI3Kα inhibitor response and resistance.
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            NameFull: Li, Zaiduo
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            NameFull: Yang, Qiang
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            NameFull: Xu, Long
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            NameFull: Dong, Weihe
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            NameFull: Yang, Xiaochuan
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            NameFull: Zhang, Xianyu
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            NameFull: Li, Xiaokun
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            – D: 01
              M: 09
              Text: Sep2025
              Type: published
              Y: 2025
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              Value: 26
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              Value: 5
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            – TitleFull: Briefings in Bioinformatics
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