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A Bayesian Two-Way Latent Structure Model for Genomic Data Integration Reveals Few Pan-Genomic Cluster Subtypes in a Breast Cancer Cohort
View ORCID ProfileDavid M. Swanson, Tonje Lien, Helga Bergholtz, Therese Sørlie, Arnoldo Frigessi
doi: https://doi.org/10.1101/387076
David M. Swanson
1Oslo Centre for Biostatistics and Epidemiology, Oslo University Hospital
Tonje Lien
2Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital
Helga Bergholtz
2Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital
4Institute of Clinical Medicine, University of Oslo, Norway
Therese Sørlie
2Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital
4Institute of Clinical Medicine, University of Oslo, Norway
Arnoldo Frigessi
1Oslo Centre for Biostatistics and Epidemiology, Oslo University Hospital
3Oslo Centre for Biostatistics and Epidemiology, University of Oslo
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Posted December 06, 2018.
A Bayesian Two-Way Latent Structure Model for Genomic Data Integration Reveals Few Pan-Genomic Cluster Subtypes in a Breast Cancer Cohort
David M. Swanson, Tonje Lien, Helga Bergholtz, Therese Sørlie, Arnoldo Frigessi
bioRxiv 387076; doi: https://doi.org/10.1101/387076
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