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

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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
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  Data: <searchLink fieldCode="AU" term="%22Burkhardt+DB%22">Burkhardt DB</searchLink>; Department of Genetics, Yale University, New Haven, CT, USA.<br /><searchLink fieldCode="AU" term="%22Stanley+JS+3rd%22">Stanley JS 3rd</searchLink>; Computational Biology & Bioinformatics Program, Yale University, New Haven, CT, USA.<br /><searchLink fieldCode="AU" term="%22Tong+A%22">Tong A</searchLink>; Department of Computer Science, Yale University, New Haven, CT, USA.<br /><searchLink fieldCode="AU" term="%22Perdigoto+AL%22">Perdigoto AL</searchLink>; Department of Immunobiology, Yale University, New Haven, CT, USA.<br /><searchLink fieldCode="AU" term="%22Gigante+SA%22">Gigante SA</searchLink>; Computational Biology & Bioinformatics Program, Yale University, New Haven, CT, USA.<br /><searchLink fieldCode="AU" term="%22Herold+KC%22">Herold KC</searchLink>; Department of Immunobiology, Yale University, New Haven, CT, USA.<br /><searchLink fieldCode="AU" term="%22Wolf+G%22">Wolf G</searchLink>; Department of Mathematics and Statistics, Université de Montréal, Montreal, QC, Canada.; Mila - Quebec AI Institute, Montreal, QC, Canada.<br /><searchLink fieldCode="AU" term="%22Giraldez+AJ%22">Giraldez AJ</searchLink>; Department of Genetics, Yale University, New Haven, CT, USA.<br /><searchLink fieldCode="AU" term="%22van+Dijk+D%22">van Dijk D</searchLink>; Department of Internal Medicine (Cardiology), Yale University, New Haven, CT, USA. david.vandijk@yale.edu.<br /><searchLink fieldCode="AU" term="%22Krishnaswamy+S%22">Krishnaswamy S</searchLink>; 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.
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  Data: <searchLink fieldCode="JN" term="%229604648%22">Nature biotechnology</searchLink> [Nat Biotechnol] 2021 May; Vol. 39 (5), pp. 619-629. <i>Date of Electronic Publication: </i>2021 Feb 08.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+America+Publishing%22">Nature America Publishing </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9604648 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1546-1696 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210870156%22">10870156 </searchLink><i>NLM ISO Abbreviation: </i>Nat Biotechnol <i>Subsets: </i>MEDLINE
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