@article{saillard:hal-04164254,
TITLE = {Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic adenocarcinoma},
AUTHOR = {Saillard, Charlie and Delecourt, Flore and Schmauch, Benoit and Moindrot, Olivier and Svrcek, Magali and Bardier-Dupas, Armelle and Emile, Jean Francois and Ayadi, Mira and Rebours, Vinciane and de Mestier, Louis and Hammel, Pascal and Neuzillet, Cindy and Bachet, Jean Baptiste and Iovanna, Juan and Dusetti, Nelson and Blum, Yuna and Richard, Magali and Kermezli, Yasmina and Paradis, Valerie and Zaslavskiy, Mikhail and Courtiol, Pierre and Kamoun, Aurelie and Nicolle, Remy and Cros, Jerome},
URL = {https://univ-rennes.hal.science/hal-04164254},
JOURNAL = {Nature Communications},
PUBLISHER = {Nature Publishing Group},
VOLUME = {14},
NUMBER = {1},
PAGES = {3459},
YEAR = {2023},
MONTH = Jun, DOI = {10.1038/s41467-023-39026-y},
PDF = {https://univ-rennes.hal.science/hal-04164254/file/41467_2023_Article_39026.pdf},
HAL_ID = {hal-04164254},
HAL_VERSION = {v1},
}