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Automated methods for cell type annotation on scRNA-seq data

  • Published:2021 Issue: Volume:19 Page:961-969
  • ISSN:2001-0370
  • Container-title:Computational and Structural Biotechnology Journal
  • language:en
  • Short-container-title:Computational and Structural Biotechnology Journal

Author:

Pasquini Giovanni,Rojo Arias Jesus Eduardo,Schäfer Patrick,Busskamp VolkerORCID

Funder

H2020 European Research Council

European Research Council

Deutsche Forschungsgemeinschaft

Volkswagen Foundation

Technische Universität Dresden

Rheinische Friedrich-Wilhelms-Universität Bonn

Publisher

Elsevier BV

Subject

Computer Science Applications,Genetics,Biochemistry,Structural Biology,Biophysics,Biotechnology

Reference77 articles.

1. Past and present;The;J Anat Physiol,1890

2. How transcription factors drive choice of the T cell fate;Hosokawa;Nat Rev Immunol,2020

3. Fuchs E, Blau HM. Tissue Stem Cells: Architects of Their Niches. Cell Stem Cell 2020;27:532–56. DOI:10.1016/j.stem.2020.09.011.

4. Benchmarking single-cell RNA-sequencing protocols for cell atlas projects;Mereu;Nat Biotechnol,2020

5. The promise of single-cell sequencing;Eberwine;Nat Methods,2014
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