De Novo Prediction of Stem Cell Identity using Single-Cell Transcriptome Data
Royal Netherlands Academy of Arts and Sciences · University Medical Center Utrecht · +5 more institutions
Indexed incrossrefpubmed
Abstract
No abstract available for this paper.
Citation impact
659
total citations
- FWCI
- 34.47
- Percentile
- 100%
- References
- 54
Citations per year
Authors
12- DGDominic GrünCorresponding
Royal Netherlands Academy of Arts and Sciences, University Medical Center Utrecht, Cancer Genomics Centre, Max Planck Institute of Immunobiology and Epigenetics
- MJMauro J. Muraro
Royal Netherlands Academy of Arts and Sciences, University Medical Center Utrecht, Cancer Genomics Centre
- JBJean-Charles Boisset
Royal Netherlands Academy of Arts and Sciences, University Medical Center Utrecht, Cancer Genomics Centre
- KWKay Wiebrands
Royal Netherlands Academy of Arts and Sciences, University Medical Center Utrecht, Cancer Genomics Centre
- ALAnna Lyubimova
Royal Netherlands Academy of Arts and Sciences, University Medical Center Utrecht, Cancer Genomics Centre
Topics & keywords
Topics
Keywords
- Biology
- Stem cell
- Transcriptome
- LGR5
- Population
- Cell biology
- Haematopoiesis
- Cell
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