Copy number motifs expose genome instability type and predict driver events and disease outcome in breast cancer
Arne V. Pladsen, Gro Nilsen, Oscar M. Rueda, Miriam R. R. Aure, Ørnulf Borgan, Knut Liestøl, Valeria Vitelli, Arnoldo Frigessi, Anita Langerød, OSBREAC, Anthony Mathelier, Olav Engebråten, David C. Wedge, Peter Van Loo, Carlos Caldas, , Ole Christian Lingjærde
The paper identifies copy number motifs in breast cancer genomes that predict disease outcome and driver events, outperforming existing clinical and genomic markers.
bioRxiv · Sep 14, 2019 · PreprintBioinformatics