J. A. Barbero-Aparicio

Nonlinear physics opens a new paradigm for accurate transcription start site prediction

N. García-Pedrajas, C. García-Osorio, S. Cuesta-López, 2022, BMC Bioinformatics.

Deep learning and support vector machines for transcription start site identification

C. García-Osorio, J. Díez-Pastor, Alicia Olivares-Gil, 2023, PeerJ Comput. Sci..

CamPype: an open-source workflow for automated bacterial whole-genome sequencing analysis focused on Campylobacter

J. Rovira, B. Melero, José Antonio Barbero-Aparicio, 2023, BMC Bioinformatics.

Addressing data scarcity in protein fitness landscape analysis: A study on semi-supervised and deep transfer learning techniques

Juan José Rodríguez Diez, C. García-Osorio, J. Díez-Pastor, 2023, Inf. Fusion.