scRNASequest: an ecosystem of scRNA-seq analysis, visualization, and publishing

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource, 1 online resource.

Language: Englisch

Bibliographic citation: scRNASequest: an ecosystem of scRNA-seq analysis, visualization, and publishing ; volume:24 ; number:1 ; day:2 ; month:5 ; year:2023 ; pages:1-13 ; date:12.2023
BMC genomics ; 24, Heft 1 (2.5.2023), 1-13, 12.2023

Creator: Li, Kejie
Sun, Yu H.
Ouyang, Zhengyu
Negi, Soumya
Gao, Zhen
Zhu, Jing
Wang, Wanli
Chen, Yirui
Piya, Sarbottam
Hu, Wenxing
Zavodszky, Maria I.
Yalamanchili, Hima
Cao, Shaolong
Gehrke, Andrew
Sheehan, Mark
Huh, Dann
Casey, Fergal
Zhang, Xinmin
Zhang, Baohong

Contributor: SpringerLink (Online service)

DOI: 10.1186/s12864-023-09332-2

URN: urn:nbn:de:101:1-2023090511274434525534

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:52 AM CEST

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Associated

Li, Kejie
Sun, Yu H.
Ouyang, Zhengyu
Negi, Soumya
Gao, Zhen
Zhu, Jing
Wang, Wanli
Chen, Yirui
Piya, Sarbottam
Hu, Wenxing
Zavodszky, Maria I.
Yalamanchili, Hima
Cao, Shaolong
Gehrke, Andrew
Sheehan, Mark
Huh, Dann
Casey, Fergal
Zhang, Xinmin
Zhang, Baohong
SpringerLink (Online service)

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scRNASequest: an ecosystem of scRNA-seq analysis, visualization, and publishing

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Other Objects (12)

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scLENS: data-driven signal detection for unbiased scRNA-seq data analysis

Application of LIGER to integration of seq-FISH and scRNA-seq

scInterpreter: a knowledge-regularized generative model for interpretably integrating scRNA-seq data

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Obstacles to detecting isoforms using full-length scRNA-seq data

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scLENS: data-driven signal detection for unbiased scRNA-seq data analysis

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Obstacles to detecting isoforms using full-length scRNA-seq data

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scDART: integrating unmatched scRNA-seq and scATAC-seq data and learning cross-modality relationship simultaneously

deMULTIplex2: robust sample demultiplexing for scRNA-seq

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scLENS: data-driven signal detection for unbiased scRNA-seq data analysis

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