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SpatioMark: Quantifying the impact of spatial proximity on cell phenotype
Sourish S Iyengar, Alex R Qin, Nicholas Robertson, Andrew N Harman, View ORCID ProfileEllis Patrick
doi: https://doi.org/10.1101/2024.12.04.626887
Sourish S Iyengar
1Centre for Cancer Research, Westmead Institute for Medical Research, The University of Sydney, Sydney, New South Wales, Australia
2Sydney Precision Data Science Centre, The University of Sydney, Sydney, New South Wales, Australia
3School of Mathematics and Statistics, The University of Sydney, Sydney, New South Wales, Australia
Alex R Qin
1Centre for Cancer Research, Westmead Institute for Medical Research, The University of Sydney, Sydney, New South Wales, Australia
2Sydney Precision Data Science Centre, The University of Sydney, Sydney, New South Wales, Australia
3School of Mathematics and Statistics, The University of Sydney, Sydney, New South Wales, Australia
Nicholas Robertson
2Sydney Precision Data Science Centre, The University of Sydney, Sydney, New South Wales, Australia
3School of Mathematics and Statistics, The University of Sydney, Sydney, New South Wales, Australia
Andrew N Harman
1Centre for Cancer Research, Westmead Institute for Medical Research, The University of Sydney, Sydney, New South Wales, Australia
4School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
Ellis Patrick
1Centre for Cancer Research, Westmead Institute for Medical Research, The University of Sydney, Sydney, New South Wales, Australia
2Sydney Precision Data Science Centre, The University of Sydney, Sydney, New South Wales, Australia
3School of Mathematics and Statistics, The University of Sydney, Sydney, New South Wales, Australia
Posted December 08, 2024.
SpatioMark: Quantifying the impact of spatial proximity on cell phenotype
Sourish S Iyengar, Alex R Qin, Nicholas Robertson, Andrew N Harman, Ellis Patrick
bioRxiv 2024.12.04.626887; doi: https://doi.org/10.1101/2024.12.04.626887
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