Learning influential genes on cancer gene expression data with stacked denoising autoencoders. - Vitor Teixeira; Rui Camacho; Pedro G. Ferreira (BIBM, 2017)

The impact of rare variation on gene expression across tissues. - Xin Li 130; Yungil Kim; Emily K. Tsang; Joe R. Davis; Farhan N. Damani; Colby Chiang; Gaelen T. Hess; Zachary Zappala; Benjamin J. Strober; Alexandra J. Scott; Amy Li; Andrea Ganna; et al. (Nat., 2017)

Deep learning for drug response prediction in cancer. - Delora Baptista; Pedro G. Ferreira; Miguel Rocha 001 (Briefings Bioinform., 2021)

Scalable transcriptomics analysis with Dask: applications in data science and machine learning. - Marta Moreno; Ricardo Vilaça; Pedro G. Ferreira (BMC Bioinform., 2022)

Data and trained models for "A systematic evaluation of deep learning methods for the prediction of drug synergy in cancer". - Delora Baptista; Pedro G. Ferreira; Miguel Rocha 001 (Zenodo, 2022)

Predicting Age from Human Lung Tissue Through Multi-modal Data Integration. - Athos Moraes; Marta Moreno; Rogério Ribeiro; Pedro G. Ferreira (DS, 2023)

Priors for symbolic regression. - Deaglan J. Bartlett; Harry Desmond; Pedro G. Ferreira (GECCO Companion, 2023)

Privacy-Preserving Machine Learning on Apache Spark. - Cláudia Brito; Pedro G. Ferreira; Bernardo Portela; Rui Carlos Oliveira; João Tiago Paulo (IEEE Access, 2023)

On the functional form of the radial acceleration relation. - Harry Desmond; Deaglan J. Bartlett; Pedro G. Ferreira (CoRR, 2023)

The Simplest Inflationary Potentials. - Tomás Sousa; Deaglan J. Bartlett; Harry Desmond; Pedro G. Ferreira (CoRR, 2023)

A precise symbolic emulator of the linear matter power spectrum. - Deaglan J. Bartlett; Lukas Kammerer; Gabriel Kronberger; Harry Desmond; Pedro G. Ferreira; Benjamin D. Wandelt; Bogdan Burlacu; David Alonso; Matteo Zennaro (CoRR, 2023)

A systematic evaluation of deep learning methods for the prediction of drug synergy in cancer. - Delora Baptista; Pedro G. Ferreira; Miguel Rocha 001 (PLoS Comput. Biol., 2023)

syren-halofit: A fast, interpretable, high-precision formula for the ΛCDM nonlinear matter power spectrum. - Deaglan J. Bartlett; Benjamin D. Wandelt; Matteo Zennaro; Pedro G. Ferreira; Harry Desmond (CoRR, 2024)

Statistical Patterns in the Equations of Physics and the Emergence of a Meta-Law of Nature. - Andrei Constantin; Deaglan J. Bartlett; Harry Desmond; Pedro G. Ferreira (CoRR, 2024)

syren-new: Precise formulae for the linear and nonlinear matter power spectra with massive neutrinos and dynamical dark energy. - Ce Sui; Deaglan J. Bartlett; Shivam Pandey; Harry Desmond; Pedro G. Ferreira; Benjamin D. Wandelt (CoRR, 2024)

Exhaustive Symbolic Regression. - Deaglan J. Bartlett; Harry Desmond; Pedro G. Ferreira (IEEE Trans. Evol. Comput., 2024)

Integration of multi-modal datasets to estimate human aging. - Rogério Ribeiro; Athos Moraes; Marta Moreno; Pedro G. Ferreira (Mach. Learn., 2024)

syren-baryon: Analytic emulators for the impact of baryons on the matter power spectrum. - Lukas Kammerer; Deaglan J. Bartlett; Gabriel Kronberger; Harry Desmond; Pedro G. Ferreira (CoRR, 2025)