A systematic comparison of data- and knowledge-driven approaches to disease subtype discovery. - Teemu J. Rintala; Antonio Federico; Leena Latonen; Dario Greco; Vittorio Fortino (Briefings Bioinform., 2021)

Network approaches for modeling the effect of drugs and diseases. - Teemu J. Rintala; Arindam Ghosh; Vittorio Fortino (Briefings Bioinform., 2022)

Multi-task deep latent spaces for cancer survival and drug sensitivity prediction. - Teemu J. Rintala; Francesco Napolitano; Vittorio Fortino (Bioinform., 2024)

COPS: A novel platform for multi-omic disease subtype discovery via robust multi-objective evaluation of clustering algorithms. - Teemu J. Rintala; Vittorio Fortino (PLoS Comput. Biol., 2024)

A Comprehensive Evaluation Framework for Benchmarking Multi-Objective Feature Selection in Omics-Based Biomarker Discovery. - Luca Cattelani; Arindam Ghosh; Teemu J. Rintala; Vittorio Fortino (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)