Reconstructing growth and dynamic trajectories from single-cell transcriptomics data
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Reconstructing growth and dynamic trajectories from single-cell transcriptomics data ; volume:6 ; number:1 ; day:30 ; month:11 ; year:2023 ; pages:25-39 ; date:1.2024
Nature machine intelligence ; 6, Heft 1 (30.11.2023), 25-39, 1.2024
- Creator
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Sha, Yutong
Qiu, Yuchi
Zhou, Peijie
Nie, Qing
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s42256-023-00763-w
- URN
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urn:nbn:de:101:1-2024040308581850620377
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:59 AM CEST
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Associated
- Sha, Yutong
- Qiu, Yuchi
- Zhou, Peijie
- Nie, Qing
- SpringerLink (Online service)
Other Objects (12)
Publisher Correction: Reconstructing growth and dynamic trajectories from single-cell transcriptomics data
Reconstructing gene regulatory dynamics along pseudotemporal trajectories using single-cell RNA-seq (Abstract ID: A11)
Single-cell RNA-Seq analysis reveals dynamic trajectories during mouse liver development
Advances in long-read single-cell transcriptomics
Redefining intestinal immunity with single-cell transcriptomics
Single-cell transcriptomics reveal the dynamic of haematopoietic stem cell production in the aorta
Combining single-cell transcriptomics and CellTagging to identify differentiation trajectories of human adipose-derived mesenchymal stem cells
Integrating Spatial Information in Single-Cell Transcriptomics Analysis
Semi-supervised integration of single-cell transcriptomics data
Advances in single-cell transcriptomics in animal research
Single-cell transcriptomics unveils gene regulatory network plasticity
Gene-level alignment of single-cell trajectories
Publisher Correction: Reconstructing growth and dynamic trajectories from single-cell transcriptomics data
Reconstructing gene regulatory dynamics along pseudotemporal trajectories using single-cell RNA-seq (Abstract ID: A11)
Single-cell RNA-Seq analysis reveals dynamic trajectories during mouse liver development
Advances in long-read single-cell transcriptomics
Redefining intestinal immunity with single-cell transcriptomics
Single-cell transcriptomics reveal the dynamic of haematopoietic stem cell production in the aorta
Combining single-cell transcriptomics and CellTagging to identify differentiation trajectories of human adipose-derived mesenchymal stem cells
Integrating Spatial Information in Single-Cell Transcriptomics Analysis
Semi-supervised integration of single-cell transcriptomics data
Advances in single-cell transcriptomics in animal research
Single-cell transcriptomics unveils gene regulatory network plasticity
Gene-level alignment of single-cell trajectories
Publisher Correction: Reconstructing growth and dynamic trajectories from single-cell transcriptomics data
Reconstructing gene regulatory dynamics along pseudotemporal trajectories using single-cell RNA-seq (Abstract ID: A11)
Single-cell RNA-Seq analysis reveals dynamic trajectories during mouse liver development
Advances in long-read single-cell transcriptomics
Redefining intestinal immunity with single-cell transcriptomics
Single-cell transcriptomics reveal the dynamic of haematopoietic stem cell production in the aorta
Combining single-cell transcriptomics and CellTagging to identify differentiation trajectories of human adipose-derived mesenchymal stem cells
Integrating Spatial Information in Single-Cell Transcriptomics Analysis
Semi-supervised integration of single-cell transcriptomics data
Advances in single-cell transcriptomics in animal research
Single-cell transcriptomics unveils gene regulatory network plasticity