HLAIImaster: a deep learning method with adaptive domain knowledge predicts HLA II neoepitope immunogenic responses.
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| Title: | HLAIImaster: a deep learning method with adaptive domain knowledge predicts HLA II neoepitope immunogenic responses. |
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| Authors: | Yang, Qiang1, Xu, Long2, Dong, Weihe3, Li, Xiaokun2,4,5,6, lixiaokun@hlju.edu.cn, Wang, Kuanquan2, Dong, Suyu3, lixiaokun@hlju.edu.cn, Zhang, Xianyu7, Yang, Tiansong8, Jiang, Feng1, Zhang, Bin9, Luo, Gongning9, Gao, Xin9, Wang, Guohua3, lixiaokun@hlju.edu.cn |
| Source: | Briefings in Bioinformatics; Jul2024, Vol. 25 Issue 4, p1-12, 12p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 178650378 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: HLAIImaster: a deep learning method with adaptive domain knowledge predicts HLA II neoepitope immunogenic responses. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Yang%2C+Qiang%22">Yang, Qiang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Xu%2C+Long%22">Xu, Long</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Dong%2C+Weihe%22">Dong, Weihe</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Li%2C+Xiaokun%22">Li, Xiaokun</searchLink><relatesTo>2,4,5,6</relatesTo>, <i>lixiaokun@hlju.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Wang%2C+Kuanquan%22">Wang, Kuanquan</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Dong%2C+Suyu%22">Dong, Suyu</searchLink><relatesTo>3</relatesTo>, <i>lixiaokun@hlju.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Xianyu%22">Zhang, Xianyu</searchLink><relatesTo>7</relatesTo><br /><searchLink fieldCode="AU" term="%22Yang%2C+Tiansong%22">Yang, Tiansong</searchLink><relatesTo>8</relatesTo><br /><searchLink fieldCode="AU" term="%22Jiang%2C+Feng%22">Jiang, Feng</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Bin%22">Zhang, Bin</searchLink><relatesTo>9</relatesTo><br /><searchLink fieldCode="AU" term="%22Luo%2C+Gongning%22">Luo, Gongning</searchLink><relatesTo>9</relatesTo><br /><searchLink fieldCode="AU" term="%22Gao%2C+Xin%22">Gao, Xin</searchLink><relatesTo>9</relatesTo><br /><searchLink fieldCode="AU" term="%22Wang%2C+Guohua%22">Wang, Guohua</searchLink><relatesTo>3</relatesTo>, <i>lixiaokun@hlju.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Briefings+in+Bioinformatics%22">Briefings in Bioinformatics</searchLink>; Jul2024, Vol. 25 Issue 4, p1-12, 12p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=178650378 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/bib/bbae302 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 1 Titles: – TitleFull: HLAIImaster: a deep learning method with adaptive domain knowledge predicts HLA II neoepitope immunogenic responses. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yang, Qiang – PersonEntity: Name: NameFull: Xu, Long – PersonEntity: Name: NameFull: Dong, Weihe – PersonEntity: Name: NameFull: Li, Xiaokun – PersonEntity: Name: NameFull: Wang, Kuanquan – PersonEntity: Name: NameFull: Dong, Suyu – PersonEntity: Name: NameFull: Zhang, Xianyu – PersonEntity: Name: NameFull: Yang, Tiansong – PersonEntity: Name: NameFull: Jiang, Feng – PersonEntity: Name: NameFull: Zhang, Bin – PersonEntity: Name: NameFull: Luo, Gongning – PersonEntity: Name: NameFull: Gao, Xin – PersonEntity: Name: NameFull: Wang, Guohua IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 14675463 Numbering: – Type: volume Value: 25 – Type: issue Value: 4 Titles: – TitleFull: Briefings in Bioinformatics Type: main |
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