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Bailey, Matthew H; Meyerson, William U; Dursi, Lewis Jonathan; Wang, Liang-Bo; Dong, Guanlan; Liang, Wen-Wei; Weerasinghe, Amila; Li, Shantao; Kelso, Sean; Saksena, Gordon; Ellrott, Kyle; Wendl, Michael C; Wheeler, David A; Getz, Gad; Simpson, Jared T; Gerstein, Mark B; Ding, Li (2020). Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples. Nature Communications, 11(1), p. 4748. Springer Nature 10.1038/s41467-020-18151-y
Reyna, Matthew A; Haan, David; Paczkowska, Marta; Verbeke, Lieven P C; Vazquez, Miguel; Kahraman, Abdullah; Pulido-Tamayo, Sergio; Barenboim, Jonathan; Wadi, Lina; Dhingra, Priyanka; Shrestha, Raunak; Getz, Gad; Lawrence, Michael S; Pedersen, Jakob Skou; Rubin, Mark Andrew; Wheeler, David A; Brunak, Søren; Izarzugaza, Jose M G; Khurana, Ekta; Marchal, Kathleen; ... (2020). Pathway and network analysis of more than 2500 whole cancer genomes. Nature communications, 11(1), p. 729. Nature Publishing Group 10.1038/s41467-020-14367-0
Jiao, Wei; Atwal, Gurnit; Polak, Paz; Karlic, Rosa; Cuppen, Edwin; Danyi, Alexandra; de Ridder, Jeroen; van Herpen, Carla; Lolkema, Martijn P; Steeghs, Neeltje; Getz, Gad; Morris, Quaid; Stein, Lincoln D (2020). A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns. Nature Communications, 11(1), p. 728. Springer Nature 10.1038/s41467-019-13825-8
