A regularized Bayesian Dirichlet-multinomial regression model for integrating single-cell-level omics and patient-level clinical study data.
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| Title: | A regularized Bayesian Dirichlet-multinomial regression model for integrating single-cell-level omics and patient-level clinical study data. |
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| Authors: | Guo, Yanghong1, Yu, Lei2, Guo, Lei2, Xu, Lin2, Lin.Xu@utsouthwestern.edu, Li, Qiwei1, Qiwei.Li@UTDallas.edu |
| Source: | Biometrics; Mar2025, Vol. 81 Issue 1, p1-12, 12p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 185489147 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=185489147 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/biomtc/ujaf005 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 1 Titles: – TitleFull: A regularized Bayesian Dirichlet-multinomial regression model for integrating single-cell-level omics and patient-level clinical study data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Guo, Yanghong – PersonEntity: Name: NameFull: Yu, Lei – PersonEntity: Name: NameFull: Guo, Lei – PersonEntity: Name: NameFull: Xu, Lin – PersonEntity: Name: NameFull: Li, Qiwei IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 0006341X Numbering: – Type: volume Value: 81 – Type: issue Value: 1 Titles: – TitleFull: Biometrics Type: main |
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