A computational framework for gene regulatory network inference that combines multiple methods and datasets. - Rita Gupta; Anna Stincone; Philipp Antczak; Sarah Durant; Roy Bicknell; Andreas Bikfalvi; Francesco Falciani (BMC Syst. Biol., 2011)

Computational Modelling of Metastasis Development in Renal Cell Carcinoma. - Etienne Baratchart; Sébastien Benzekry; Andreas Bikfalvi; Thierry Colin; Lindsay S. Cooley; Raphäel Pineau; Emeline J. Ribot; Olivier Saut; Wilfried Souleyreau (PLoS Comput. Biol., 2015)

Deep learning model for automatic segmentation of lungs and pulmonary metastasis in small animal MR images. - Edgar Lefevre; Emmanuel Bouilhol; Antoine Chauvière; Wilfried Souleyreau; Marie-Alix Derieppe; Aurélien J. Trotier; Sylvain Miraux; Andreas Bikfalvi; Emeline J. Ribot; Macha Nikolski (Frontiers Bioinform., 2022)

Practical identifiability analysis of a mechanistic model for the time to distant metastatic relapse and its application to renal cell carcinoma. - Arturo Álvarez-Arenas; Wilfried Souleyreau; Andrea Emanuelli; Lindsay S. Cooley; Jean-Christophe Bernhard; Andreas Bikfalvi; Sébastien Benzekry (PLoS Comput. Biol., 2022)