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Approaches to generating virtual patient cohorts with applications in oncology
View ORCID ProfileAnudeep Surendran, Justin Le Sauteur-Robitaille, Dana Kleimeier, View ORCID ProfileJana Gevertz, View ORCID ProfileKathleen Wilkie, View ORCID ProfileAdrianne L. Jenner, View ORCID ProfileMorgan Craig
doi: https://doi.org/10.1101/2022.05.24.493265
Anudeep Surendran
1Department of Mathematics and Statistics, Université de Montréal, Montréal, Canada
2Sainte-Justine University Hospital Research Centre, Montréal, Canada
3Centre de recherches mathématiques, Montréal, Canada
Justin Le Sauteur-Robitaille
1Department of Mathematics and Statistics, Université de Montréal, Montréal, Canada
2Sainte-Justine University Hospital Research Centre, Montréal, Canada
Dana Kleimeier
4Institute of Bioinformatics, University Medicine Greifswald, Germany
Jana Gevertz
5Department of Mathematics and Statistics, The College of New Jersey, Ewing, NJ, USA
Kathleen Wilkie
6Department of Mathematics, Ryerson University, Toronto, Canada
Adrianne L. Jenner
7School of Mathematical Sciences, Queensland University of Technology, Brisbane, QLD, Australia
Morgan Craig
1Department of Mathematics and Statistics, Université de Montréal, Montréal, Canada
2Sainte-Justine University Hospital Research Centre, Montréal, Canada

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Posted May 25, 2022.
Approaches to generating virtual patient cohorts with applications in oncology
Anudeep Surendran, Justin Le Sauteur-Robitaille, Dana Kleimeier, Jana Gevertz, Kathleen Wilkie, Adrianne L. Jenner, Morgan Craig
bioRxiv 2022.05.24.493265; doi: https://doi.org/10.1101/2022.05.24.493265
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