Es mostra/en per Autor Polak, Paz
Mostrando resultados 1 a 2 de 2
| Fecha de publicación | Título | Autor(es) |
|---|---|---|
| 5-feb-2020 | A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns | Jiao, Wei; Atwal, Gurnit; Polak, Paz; Karlic, Rosa; Cuppen, Edwin; PCAWG Tumor Subtypes and Clinical Translation Working Group; Danyi, Alexandra; de Ridder, Jeroen; van Herpen, Carla; Lolkema, Martijn P.; Steeghs, Neeltje; Getz, Gad; Morris, Quaid D.; Stein, Lincoln D.; PCAWG Consortium; Deu-Pons, Jordi; Frigola, Joan; González-Pérez, Abel; Muiños, Ferran; Mularoni, Loris; Pich, Oriol; Reyes-Salazar, Iker; Rubio-Perez, Carlota; Sabarinathan, Radhakrishnan; Tamborero, David; Aymerich Gregorio, Marta; Campo Güerri, Elias; López Guillermo, Armando; Gelpi Buchaca, Josep Lluís; Rabionet Janssen, Raquel |
| 25-agoo-2021 | Current gene panels account for nearly all homologous recombination repair-associated multiple-case breast cancer families | Matis, Thibaut S.; Zayed, Nadia; Labraki, Bouchra; Ladurantaye, Manon de; Matis, Théophane A.; Camacho Valenzuela, José; Hamel, Nancy; Atayan, Adrienne; Rivera, Barbara; Tabach, Yuval; Tonin, Patricia N.; Orthwein, Alexandre; Mes Masson, Anne-Marie; El Haffaf, Zaki; Foulkes, William D.; Polak, Paz |