Computational Considerations in Transcriptome Assemblies and Their Evaluation, using High Quality Human RNA-Seq data. - Noushin Ghaffari; Jordi Abante; Raminder Singh; Philip D. Blood; Charles D. Johnson (XSEDE, 2016)

An information-theoretic approach to the modeling and analysis of whole-genome bisulfite sequencing data. - W. Garrett Jenkinson; Jordi Abante; Andrew P. Feinberg; John Goutsias (BMC Bioinform., 2018)

Ranking genomic features using an information-theoretic measure of epigenetic discordance. - W. Garrett Jenkinson; Jordi Abante; Michael A. Koldobskiy; Andrew P. Feinberg; John Goutsias (BMC Bioinform., 2019)

Assessing Tree-Based Phenotype Prediction on the UK Biobank. - Alex Meléndez; Cayetana López; David Bonet; Gerard Sant; Daniel Mas Montserrat; Jordi Abante; Manuel Rivas; Ferran Marqués; Alexander G. Ioannidis (BIBM, 2023)

Leveraging protein-protein interactions in phenotype prediction through graph neural networks. - Riccardo Smeriglio; Joana Rosell-Mirmi; Petia Radeva; Jordi Abante (CIBCB, 2024)

Explainable AI model reveals disease-related mechanisms in single-cell RNA-seq data. - Mohammad Usman; Ismael García-Varea; Petia Radeva; Josep Canals; Jordi Abante; Daniel Ortiz (CoRR, 2025)

Single-neuron deep generative model uncovers underlying physics of neuronal activity in Ca imaging data. - Jordi Abante; Angelo Piga; Berta Ros; Clara F. López-León; Josep M. Canals; Jordi Soriano (CoRR, 2025)