Multi-level cellular and functional annotation of single-cell transcriptomes using scPipeline
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2399-3642
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Multi-level cellular and functional annotation of single-cell transcriptomes using scPipeline ; volume:5 ; number:1 ; day:28 ; month:10 ; year:2022 ; pages:1-14 ; date:12.2022
Communications biology ; 5, Heft 1 (28.10.2022), 1-14, 12.2022
- Creator
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Mikolajewicz, Nicholas
Gacesa, Rafael
Aguilera-Uribe, Magali
Brown, Kevin R.
Moffat, Jason
Han, Hong
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s42003-022-04093-2
- URN
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urn:nbn:de:101:1-2023011320594768479862
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:20 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Mikolajewicz, Nicholas
- Gacesa, Rafael
- Aguilera-Uribe, Magali
- Brown, Kevin R.
- Moffat, Jason
- Han, Hong
- SpringerLink (Online service)
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Multi-level annotation in MMAX
Multi-level annotation in MMAX
SUsPECT: a pipeline for variant effect prediction based on custom long-read transcriptomes for improved clinical variant annotation
Cell type identification from single-cell transcriptomes in melanoma
siVAE: interpretable deep generative models for single-cell transcriptomes
Robust enhancer-gene regulation identified by single-cell transcriptomes and epigenomes
Droplet-based single-cell joint profiling of histone modifications and transcriptomes
Publisher Correction to: TrancriptomeReconstructoR: data‑driven annotation of complex transcriptomes
SEVtras delineates small extracellular vesicles at droplet resolution from single-cell transcriptomes
High-resolution alignment of single-cell and spatial transcriptomes with CytoSPACE
JOINTLY: interpretable joint clustering of single-cell transcriptomes
TrancriptomeReconstructoR: data-driven annotation of complex transcriptomes
Multi-level annotation in MMAX
Multi-level annotation in MMAX
SUsPECT: a pipeline for variant effect prediction based on custom long-read transcriptomes for improved clinical variant annotation
Cell type identification from single-cell transcriptomes in melanoma
siVAE: interpretable deep generative models for single-cell transcriptomes
Robust enhancer-gene regulation identified by single-cell transcriptomes and epigenomes
Droplet-based single-cell joint profiling of histone modifications and transcriptomes
Publisher Correction to: TrancriptomeReconstructoR: data‑driven annotation of complex transcriptomes
SEVtras delineates small extracellular vesicles at droplet resolution from single-cell transcriptomes
High-resolution alignment of single-cell and spatial transcriptomes with CytoSPACE
JOINTLY: interpretable joint clustering of single-cell transcriptomes
TrancriptomeReconstructoR: data-driven annotation of complex transcriptomes
Multi-level annotation in MMAX
Multi-level annotation in MMAX
SUsPECT: a pipeline for variant effect prediction based on custom long-read transcriptomes for improved clinical variant annotation
Cell type identification from single-cell transcriptomes in melanoma
siVAE: interpretable deep generative models for single-cell transcriptomes
Robust enhancer-gene regulation identified by single-cell transcriptomes and epigenomes
Droplet-based single-cell joint profiling of histone modifications and transcriptomes
Publisher Correction to: TrancriptomeReconstructoR: data‑driven annotation of complex transcriptomes
SEVtras delineates small extracellular vesicles at droplet resolution from single-cell transcriptomes