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Open Access
Peer-reviewed
Research Article
Machine learning predicts cancer subtypes and progression from blood immune signatures
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David A. Simon Davis,
Roles Conceptualization, Investigation, Project administration, Supervision, Writing – original draft, Writing – review & editing
Affiliation Irradiation Immunity Interaction Lab, Canberra, ACT, Australia
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Sahngeun Mun,
Roles Investigation, Writing – review & editing
Affiliation Irradiation Immunity Interaction Lab, Canberra, ACT, Australia
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Julianne M. Smith,
Roles Investigation, Writing – review & editing
Affiliation Irradiation Immunity Interaction Lab, Canberra, ACT, Australia
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Dillon Hammill,
Roles Visualization, Writing – review & editing
Affiliation Division of Genome Sciences & Cancer, John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia
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Jessica Garrett,
Roles Writing – original draft, Writing – review & editing
Affiliation Division of Genome Sciences & Cancer, John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia
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Katharine Gosling,
Roles Writing – original draft, Writing – review & editing
Affiliation Division of Genome Sciences & Cancer, John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia
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Jason Price,
Roles Writing – original draft
Affiliation Division of Genome Sciences & Cancer, John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia
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Hany Elsaleh,
Roles Writing – original draft, Writing – review & editing
Affiliation Radiation Oncology Department, The Alfred, Melbourne, VIC, Australia
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Farhan M. Syed,
Roles Conceptualization, Writing – original draft, Writing – review & editing
Affiliations Irradiation Immunity Interaction Lab, Canberra, ACT, Australia, Radiation Oncology Department, Canberra Hospital, Canberra Health Services, Canberra, ACT, Australia
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Ines I. Atmosukarto,
Roles Conceptualization, Investigation, Project administration, Supervision, Writing – original draft, Writing – review & editing
Affiliations Irradiation Immunity Interaction Lab, Canberra, ACT, Australia, Division of Genome Sciences & Cancer, John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia
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Benjamin J. C. Quah
Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Supervision, Writing – original draft, Writing – review & editing
* E-mail: ben.quah@anu.edu.au
Affiliations Irradiation Immunity Interaction Lab, Canberra, ACT, Australia, Radiation Oncology Department, Canberra Hospital, Canberra Health Services, Canberra, ACT, Australia
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Machine learning predicts cancer subtypes and progression from blood immune signatures
- David A. Simon Davis,
- Sahngeun Mun,
- Julianne M. Smith,
- Dillon Hammill,
- Jessica Garrett,
- Katharine Gosling,
- Jason Price,
- Hany Elsaleh,
- Farhan M. Syed,
- Ines I. Atmosukarto
- Published: February 28, 2022
- https://doi.org/10.1371/journal.pone.0264631