Inferring gene regulatory network from single-cell transcriptomes with graph autoencoder model.
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| Title: | Inferring gene regulatory network from single-cell transcriptomes with graph autoencoder model. |
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| Authors: | Wang, Jiacheng1,2 (AUTHOR), Chen, Yaojia1 (AUTHOR), Zou, Quan1,2 (AUTHOR) zouquan@nclab.net |
| Source: | PLoS Genetics. 9/13/2023, Vol. 19 Issue 9, p1-28. 28p. |
| 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: 171922480 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Inferring gene regulatory network from single-cell transcriptomes with graph autoencoder model. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wang%2C+Jiacheng%22">Wang, Jiacheng</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Yaojia%22">Chen, Yaojia</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zou%2C+Quan%22">Zou, Quan</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> zouquan@nclab.net</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22PLoS+Genetics%22">PLoS Genetics</searchLink>. 9/13/2023, Vol. 19 Issue 9, p1-28. 28p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=171922480 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pgen.1010942 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 28 StartPage: 1 Titles: – TitleFull: Inferring gene regulatory network from single-cell transcriptomes with graph autoencoder model. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang, Jiacheng – PersonEntity: Name: NameFull: Chen, Yaojia – PersonEntity: Name: NameFull: Zou, Quan IsPartOfRelationships: – BibEntity: Dates: – D: 13 M: 09 Text: 9/13/2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 15537390 Numbering: – Type: volume Value: 19 – Type: issue Value: 9 Titles: – TitleFull: PLoS Genetics Type: main |
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