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De Novo Prediction of Stem Cell Identity using Single-Cell Transcriptome Data.

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第一作者: Dominic,Grün
第一单位: Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences, 3584 CT Utrecht, the Netherlands; Cancer Genomics Netherlands, University Medical Center Utrecht, 3584 CX Utrecht, the Netherlands; Max Planck Institute of Immunobiology and Epigenetics, 79108 Freiburg, Germany. Electronic address: gruen@ie-freibug.mpg.de.
作者单位: Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences, 3584 CT Utrecht, the Netherlands; Cancer Genomics Netherlands, University Medical Center Utrecht, 3584 CX Utrecht, the Netherlands; Max Planck Institute of Immunobiology and Epigenetics, 79108 Freiburg, Germany. Electronic address: gruen@ie-freibug.mpg.de. [1] Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences, 3584 CT Utrecht, the Netherlands; Cancer Genomics Netherlands, University Medical Center Utrecht, 3584 CX Utrecht, the Netherlands. [2] Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences, 3584 CT Utrecht, the Netherlands; Cancer Genomics Netherlands, University Medical Center Utrecht, 3584 CX Utrecht, the Netherlands; Department of Medicine, Section of Nephrology and Section of Endocrinology, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands. [3] Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences, 3584 CT Utrecht, the Netherlands; Cancer Genomics Netherlands, University Medical Center Utrecht, 3584 CX Utrecht, the Netherlands; Princess Maxima Center for Pediatric Oncology, 3508 AB Utrecht, the Netherlands. [4] Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences, 3584 CT Utrecht, the Netherlands; Cancer Genomics Netherlands, University Medical Center Utrecht, 3584 CX Utrecht, the Netherlands. Electronic address: a.vanoudenaarden@hubrecht.eu. [5]
DOI 10.1016/j.stem.2016.05.010
PMID 27345837
发布时间 2025-05-29
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