-
Loading metrics
Open Access
Peer-reviewed
Research Article
Learning high-order interactions for polygenic risk prediction
-
Michela C. Massi ,
Contributed equally to this work with: Michela C. Massi, Nicola R. Franco
Roles Conceptualization, Formal analysis, Methodology, Writing – original draft
* E-mail: michela.massi@fht.org
Affiliations MOX, Department of Mathematics, Politecnico di Milano, Milan, Italy, HDSC - Health Data Science Centre, Human Technopole, Milan, Italy
⨯ -
Nicola R. Franco ,
Contributed equally to this work with: Michela C. Massi, Nicola R. Franco
Roles Conceptualization, Data curation, Formal analysis, Methodology, Writing – original draft
Affiliation MOX, Department of Mathematics, Politecnico di Milano, Milan, Italy
⨯ -
Andrea Manzoni,
Roles Supervision, Writing – review & editing
Affiliation MOX, Department of Mathematics, Politecnico di Milano, Milan, Italy
⨯ -
Anna Maria Paganoni,
Roles Conceptualization, Supervision, Writing – review & editing
Affiliation MOX, Department of Mathematics, Politecnico di Milano, Milan, Italy
⨯ -
Hanla A. Park,
Roles Data curation, Writing – review & editing
Affiliations Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, Medical Faculty, University of Heidelberg, Heidelberg, Germany
⨯ -
Michael Hoffmeister,
Roles Data curation
Affiliation Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
⨯ -
Hermann Brenner,
Roles Data curation
Affiliations Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany, Division of Preventive Oncology, National Center for Tumor Diseases (NCT) and German Cancer Research Center (DKFZ), Heidelberg, Germany, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
⨯ -
Jenny Chang-Claude,
Roles Data curation, Writing – review & editing
Affiliations Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, Cancer Epidemiology Group, University Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
⨯ -
Francesca Ieva,
Roles Supervision, Writing – review & editing
Affiliations MOX, Department of Mathematics, Politecnico di Milano, Milan, Italy, HDSC - Health Data Science Centre, Human Technopole, Milan, Italy
⨯ -
Paolo Zunino
Roles Project administration, Supervision, Writing – review & editing
Affiliation MOX, Department of Mathematics, Politecnico di Milano, Milan, Italy
⨯
Learning high-order interactions for polygenic risk prediction
- Michela C. Massi,
- Nicola R. Franco,
- Andrea Manzoni,
- Anna Maria Paganoni,
- Hanla A. Park,
- Michael Hoffmeister,
- Hermann Brenner,
- Jenny Chang-Claude,
- Francesca Ieva,
- Paolo Zunino
- Published: February 10, 2023
- https://doi.org/10.1371/journal.pone.0281618