PepTCR-Net: prediction of multi-class antigen peptides by T-cell receptor sequences with deep learning.
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| Title: | PepTCR-Net: prediction of multi-class antigen peptides by T-cell receptor sequences with deep learning. |
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| Authors: | Le, Phi1 (AUTHOR), Ung, Leah1 (AUTHOR), Yang, Hai2 (AUTHOR), Huang, Anwen1,3 (AUTHOR), He, Tao4 (AUTHOR), Bruno, Peter2,5 (AUTHOR), Oh, David Y1,2 (AUTHOR), Keenan, Bridget P1,2 (AUTHOR), Zhang, Li1,2,6 (AUTHOR) |
| Source: | Briefings in Bioinformatics. Jul2025, Vol. 26 Issue 4, p1-11. 11p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 187957664 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: PepTCR-Net: prediction of multi-class antigen peptides by T-cell receptor sequences with deep learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Le%2C+Phi%22">Le, Phi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ung%2C+Leah%22">Ung, Leah</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Hai%22">Yang, Hai</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Huang%2C+Anwen%22">Huang, Anwen</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22He%2C+Tao%22">He, Tao</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bruno%2C+Peter%22">Bruno, Peter</searchLink><relatesTo>2,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Oh%2C+David+Y%22">Oh, David Y</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Keenan%2C+Bridget+P%22">Keenan, Bridget P</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Li%22">Zhang, Li</searchLink><relatesTo>1,2,6</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Briefings+in+Bioinformatics%22">Briefings in Bioinformatics</searchLink>. Jul2025, Vol. 26 Issue 4, p1-11. 11p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=187957664 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/bib/bbaf351 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 1 Titles: – TitleFull: PepTCR-Net: prediction of multi-class antigen peptides by T-cell receptor sequences with deep learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Le, Phi – PersonEntity: Name: NameFull: Ung, Leah – PersonEntity: Name: NameFull: Yang, Hai – PersonEntity: Name: NameFull: Huang, Anwen – PersonEntity: Name: NameFull: He, Tao – PersonEntity: Name: NameFull: Bruno, Peter – PersonEntity: Name: NameFull: Oh, David Y – PersonEntity: Name: NameFull: Keenan, Bridget P – PersonEntity: Name: NameFull: Zhang, Li IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 14675463 Numbering: – Type: volume Value: 26 – Type: issue Value: 4 Titles: – TitleFull: Briefings in Bioinformatics Type: main |
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