Using random forests to uncover the predictive power of distance-varying cell interactions in tumor microenvironments

• Jeremy VanderDoes,

  Roles Methodology, Software, Writing – original draft, Writing – review & editing

  Affiliation Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Canada

  https://orcid.org/0009-0001-9885-3073

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• Claire Marceaux,

  Roles Data curation, Investigation

  Affiliations Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Australia, Department of Medical Biology, The University of Melbourne, Parkville, Australia

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• Kenta Yokote,

  Roles Data curation, Investigation

  Affiliation Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Australia

  https://orcid.org/0000-0002-0817-7076

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• Marie-Liesse Asselin-Labat,

  Roles Conceptualization, Data curation, Investigation, Writing – review & editing

  Affiliations Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Australia, Department of Medical Biology, The University of Melbourne, Parkville, Australia

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• Gregory Rice,

  Roles Conceptualization, Methodology, Writing – review & editing

  Affiliation Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Canada

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• Jack D. Hywood

  Roles Conceptualization, Methodology, Writing – review & editing

  * E-mail: jack.d.hywood@gmail.com

  Affiliation Department of Anatomical Pathology, Royal Melbourne Hospital, Parkville, Australia

  https://orcid.org/0000-0002-2028-2629

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