Compositional data modeling of high-dimensional single cell RNA-seq (CoDA-hd): its advantages over commonly used normalization approaches.
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| Title: | Compositional data modeling of high-dimensional single cell RNA-seq (CoDA-hd): its advantages over commonly used normalization approaches. |
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| Authors: | Huang, Jinghan1 (AUTHOR), Yam, Sheung Chi Phillip2 (AUTHOR), Leung, K. S.3,4 (AUTHOR), Deng, Minghua5 (AUTHOR), Tang, Nelson L. S.1,6,7 (AUTHOR) nelsontang@cuhk.edu.hk |
| Source: | Journal of Translational Medicine. 10/21/2025, Vol. 23 Issue 1, p1-20. 20p. |
| 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: 188799206 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s12967-025-07157-z Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 1 Titles: – TitleFull: Compositional data modeling of high-dimensional single cell RNA-seq (CoDA-hd): its advantages over commonly used normalization approaches. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Huang, Jinghan – PersonEntity: Name: NameFull: Yam, Sheung Chi Phillip – PersonEntity: Name: NameFull: Leung, K. S. – PersonEntity: Name: NameFull: Deng, Minghua – PersonEntity: Name: NameFull: Tang, Nelson L. S. IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 10 Text: 10/21/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 14795876 Numbering: – Type: volume Value: 23 – Type: issue Value: 1 Titles: – TitleFull: Journal of Translational Medicine Type: main |
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