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Quantifying the effect of experimental perturbations at single-cell resolution.
Burkhardt, Daniel B; Stanley, Jay S; Tong, Alexander; Perdigoto, Ana Luisa; Gigante, Scott A; Herold, Kevan C; Wolf, Guy; Giraldez, Antonio J; van Dijk, David; Krishnaswamy, Smita.
Affiliation
  • Burkhardt DB; Department of Genetics, Yale University, New Haven, CT, USA.
  • Stanley JS; Computational Biology & Bioinformatics Program, Yale University, New Haven, CT, USA.
  • Tong A; Department of Computer Science, Yale University, New Haven, CT, USA.
  • Perdigoto AL; Department of Immunobiology, Yale University, New Haven, CT, USA.
  • Gigante SA; Computational Biology & Bioinformatics Program, Yale University, New Haven, CT, USA.
  • Herold KC; Department of Immunobiology, Yale University, New Haven, CT, USA.
  • Wolf G; Department of Mathematics and Statistics, Université de Montréal, Montreal, QC, Canada.
  • Giraldez AJ; Mila - Quebec AI Institute, Montreal, QC, Canada.
  • van Dijk D; Department of Genetics, Yale University, New Haven, CT, USA.
  • Krishnaswamy S; Department of Internal Medicine (Cardiology), Yale University, New Haven, CT, USA. david.vandijk@yale.edu.
Nat Biotechnol ; 39(5): 619-629, 2021 05.
Article in En | MEDLINE | ID: mdl-33558698
Subject(s)
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Full text: 1 Database: MEDLINE Main subject: Sequence Analysis, RNA / Computational Biology / Single-Cell Analysis / Transcriptome Limits: Humans Language: En Journal: Nat Biotechnol Journal subject: BIOTECNOLOGIA Year: 2021 Type: Article Affiliation country: United States
Fulltext
Add to My VHL
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Full text: 1 Database: MEDLINE Main subject: Sequence Analysis, RNA / Computational Biology / Single-Cell Analysis / Transcriptome Limits: Humans Language: En Journal: Nat Biotechnol Journal subject: BIOTECNOLOGIA Year: 2021 Type: Article Affiliation country: United States