Quantifying the effect of experimental perturbations at single-cell resolution.

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Bibliographic Details
Title: Quantifying the effect of experimental perturbations at single-cell resolution.
Authors: Burkhardt DB; Department of Genetics, Yale University, New Haven, CT, USA., Stanley JS 3rd; 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.; Mila - Quebec AI Institute, Montreal, QC, Canada., Giraldez AJ; Department of Genetics, Yale University, New Haven, CT, USA., van Dijk D; Department of Internal Medicine (Cardiology), Yale University, New Haven, CT, USA. david.vandijk@yale.edu., Krishnaswamy S; Department of Genetics, Yale University, New Haven, CT, USA. smita.krishnaswamy@yale.edu.; Department of Computer Science, Yale University, New Haven, CT, USA. smita.krishnaswamy@yale.edu.
Source: Nature biotechnology [Nat Biotechnol] 2021 May; Vol. 39 (5), pp. 619-629. Date of Electronic Publication: 2021 Feb 08.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Nature America Publishing Country of Publication: United States NLM ID: 9604648 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1546-1696 (Electronic) Linking ISSN: 10870156 NLM ISO Abbreviation: Nat Biotechnol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1546-1696
DOI:10.1038/s41587-020-00803-5