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Open Access
Peer-reviewed
Research Article
Learning time-varying information flow from single-cell epithelial to mesenchymal transition data
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Smita Krishnaswamy ,
Contributed equally to this work with: Smita Krishnaswamy, Nevena Zivanovic, Roshan Sharma
Roles Conceptualization, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing
Affiliation Department of Genetics, Department of Computer Science, Yale University, New Haven, CT, United States of America
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Nevena Zivanovic ,
Contributed equally to this work with: Smita Krishnaswamy, Nevena Zivanovic, Roshan Sharma
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Validation, Visualization, Writing – original draft, Writing – review & editing
Affiliation Institute for Molecular Life Sciences, University of Zurich, Zurich, Switzerland
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Roshan Sharma ,
Contributed equally to this work with: Smita Krishnaswamy, Nevena Zivanovic, Roshan Sharma
Roles Conceptualization, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing
Affiliation Department of Applied Physics and Applied Math, Columbia University, New York, NY, United States of America
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Dana Pe’er ,
Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing
* E-mail: peerd@mskcc.org
¶‡ These authors also contributed equally to this work.
Affiliation Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
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Bernd Bodenmiller
Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing
¶‡ These authors also contributed equally to this work.
Affiliation Institute for Molecular Life Sciences, University of Zurich, Zurich, Switzerland
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Learning time-varying information flow from single-cell epithelial to mesenchymal transition data
- Smita Krishnaswamy,
- Nevena Zivanovic,
- Roshan Sharma,
- Dana Pe’er,
- Bernd Bodenmiller
- Published: October 29, 2018
- https://doi.org/10.1371/journal.pone.0203389